Biostatistics.
Overview
| Works: | 581 works in 215 publications in 215 languages | |
|---|---|---|
Titles
Applied statistical genetics with R = for population-based association studies /
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(Language materials, printed)
The pleasures of statistics = the autobiography of Frederick Mosteller /
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(Language materials, printed)
Simultaneous statistical inference = with applications in the life sciences /
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(Electronic resources)
Statistical modelling in biostatistics and bioinformatics = selected papers /
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(Electronic resources)
Excel 2016 for biological and life sciences statistics = a guide to solving practical problems /
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(Electronic resources)
Extended abstracts Fall 2015 = Biomedical Big Data; Statistics for Low Dose Radiation Research /
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(Electronic resources)
Elucidation of transcriptional regulation by analyzing Next-Generation Sequencing data.
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(Electronic resources)
Pharmaceutical statistics = MBSW 39, Muncie, Indiana, USA, May 16-18, 2016 /
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(Electronic resources)
Hydroacoustic Quanti cation of Lake Erie Walleye (Sander vitreus) Distribution and Abundance.
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(Electronic resources)
Modern infectious disease epidemiology = concepts, methods, mathematical models and public health /
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(Language materials, printed)
Micro-econometrics = methods of moments and limited dependent variables /
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(Language materials, printed)
Modeling dose-response microarray data in early drug development experiments using R = order-restricted analysis of mircoarray data /
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(Electronic resources)
Advances in complex data modeling and computational methods in statistics
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(Electronic resources)
Excel 2013 for biological and life sciences statistics = a guide to solving practical problems /
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(Electronic resources)
Rankings and preferences = new results in weighted correlation and weighted principal component analysis with applications /
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(Electronic resources)
Umbrella Reviews = evidence synthesis with overviews of reviews and meta-epidemiologic studies /
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(Electronic resources)
An introduction to statistics with Python = with applications in the life sciences /
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(Electronic resources)
Introduction to nonparametric statistics for the biological sciences using R
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(Electronic resources)
Robust rank-based and nonparametric methods = Michigan, USA, April 2015 : selected, revised, and extended contributions /
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(Electronic resources)
Bayesian approach to an exponential hazard regression model with a change point.
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(Electronic resources)
The construction and assessment of a simulation model to describe the impact of dietary change on the epidemiologic transition and its consequences in China.
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Statistical Methods for Comparative Effectiveness Research of Medical Devices.
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(Electronic resources)
Statistical methods for sub-class discovery on genomic structures with quantitative outcomes.
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(Electronic resources)
New theory of discriminant analysis after R. Fisher = advanced research by the feature selection method for microarray data /
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(Electronic resources)
Statistical analysis of proteomics, metabolomics, and lipidomics data using mass spectrometry
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(Electronic resources)
Advanced data analysis in neuroscience = integrating statistical and computational models /
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(Electronic resources)
Growth curve models and applications = Indian Statistical Institute, Giridih, India, March 28-29, 2016 /
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(Electronic resources)
Instrumental variables and Mendelian randomization with invalid instruments.
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(Electronic resources)
Regression analysis in medical research = for starters and 2nd levelers /
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(Electronic resources)
Analysis of survival data with dependent censoring = copula-based approaches /
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(Electronic resources)
Targeted learning in data science = causal inference for complex longitudinal studies /
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(Electronic resources)
Methods and biostatistics in oncology = understanding clinical research as an applied tool /
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(Electronic resources)
Bayesian inference and maximum entropy methods in science and engineering = MaxEnt 37, Jarinu, Brazil, July 09-14, 2017 /
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Some Statistical Methods for Brain Gene Expression Data: Dimension Reduction, Feature Screening, and Causal Inference.
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(Electronic resources)
New Tools for Intermodal Analysis and Association Testing in Neuroimaging.
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(Electronic resources)
Statistical Methods for Estimation, Testing, and Clustering with Gene Expression Data.
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(Electronic resources)
Improving Semiparametric Estimation of Longitudinal Data with Covariance Function.
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(Electronic resources)
Dose-finding designs for early-phase cancer clinical trials = a brief guidebook to theory and practice /
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(Electronic resources)
High-dimensional microarray data analysis = cancer gene diagnosis and malignancy indexes by microarray /
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(Electronic resources)
Sample size calculation when high dose cannot be administered first in a three-period crossover design.
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Identification of Biomarkers for the Overall Survival of Ovarian Cancer Patients.
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Analysis strategies for planned missing data in health sciences and education research.
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Diets, Distribution and Population Dynamics of Arctic Cod ( Boreogadus saida) in Arctic Shelf Ecosystems.
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(Electronic resources)
Regression analysis in medical research = for Starters and 2nd Levelers /
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(Electronic resources)
Advances in statistics = theory and applications : honoring the contributions of Barry C. Arnold in statistical science /
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(Electronic resources)
Pediatric biomedical informatics = computer applications in pediatric research /
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Statistical methods for genetic association analysis in samples with related individuals and population structure.
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Gene-based analyses in association studies: From testing for gene-environment interactions to population stratification adjustment.
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Mixed-model methods for genome-wide association analysis with binary traits.
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Test of Treatment Effect with Zero-Inflated Over-Dispersed Count Data from Randomized Single Factor Experiments.
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Field guidelines for genetic experimental designs in high-throughput sequencing
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(Electronic resources)
Pediatric biomedical informatics = computer applications in pediatric research /
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(Electronic resources)
Statistical causal inferences and their applications in public health research
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(Electronic resources)
Health and lifestyle = separating the truth from the myth with statistics /
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(Electronic resources)
New developments in statistical modeling, inference and application = selected papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR /
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Stochasticity in processes = fundamentals and applications to chemistry and biology /
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Statistical inference on optimal points to evaluate multi-state classification systems.
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Measuring Performance of Physicians in the Diagnosis of Endometriosis using an Expectation-Maximization Algorithm.
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Identification of Non-Random Somatic Mutation Clustering While Accounting for Protein Tertiary Structure: Extensions, Novel Methodologies and Applications to Identifying Oncogenic Driver Mutations.
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Statistical Methods for Analyzing DNA Methylation Data and Subpopulation Analysis of Continuous, Binary and Count Data for Clinical Trials.
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Association between land use and temperatures during the 2011 heat wave in Houston: A quantile regression analysis.
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A graphical user interface (GUI) input-based algorithm to automate generation of multi-state models for release-recapture studies.
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Methods for identifying regions of brain activation using fMRI meta-data.
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Meta-analysis of safety data: Approximation of arcsine transformation and application of mixture distribution modelling.
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A novel concept on incremental cost-effectiveness ratio with censored cost data.
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Estimation and Conditional Inference in High-Dimensional Statistical Models.
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Causal Mediation Analysis with failure time outcome and error-prone longitudinal covariate.
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Scalable Ensemble Learning and Computationally Efficient Variance Estimation.
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Discovery and Functional Interpretation of Genetic Risk in Autoimmune Diseases.
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Some Statistical Methods for Spatial-Temporal Brain Gene Expression Data.
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Cigarette smoking among HIV patients receiving antiretroviral therapy in Vietnam.
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The effect of substance use disorder parity mandates on the privately insured population.
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Various considerations on performance measures for a classification of ordinal data.
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The Association Between Osteoporosis and Early Menopause Following Hysterectomy.
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Extra-medical prescription pain reliever use, dependence, and persistence among adolescents.
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New statistical methods and computational tools for mining big data, with applications in plant sciences.
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An evaluation of breast radiological density assessment by Quantra software as compared to visual classification.
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Methods for Handling Measurement Error and Sources of Variation in Functional Data Models.
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Utilizing multilevel event history analysis to model temporal characteristics of friendships unfolding in discrete-time social networks.
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New methods for meta-analysis under a fixed effects framework, with frequentist and Bayesian estimation.
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Joint modeling approaches for clustered survival data with random cluster size.
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Design and Analysis of Cluster Randomized Trials with Application to HIV Prevention and Treatment.
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Statistical Methods to Understand the Genetic Architecture of Complex Traits.
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Statistical applications from clinical trials and personalized medicine to finance and business analytics = selected papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins /
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Applied statistics for agriculture, veterinary, fishery, dairy and allied fields
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Next generation sequencing based clinical molecular diagnosis of human genetic disorders
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Statistical analysis with measurement error or misclassification = strategy, method and application /
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Statistical tests for homogeneity using parametric and semiparametric models with applications to meta-analysis and statistical genetics.
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Statistical tools for general association testing and control of false discoveries in group testing.
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Memory strategy use among older adults: Predictors and health correlates in the advanced cognitive training for independent and vital elderly (active) study.
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Success of horizontal strategic alliances in healthcare: A combined resource dependence and competitive advantage theory perspective.
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Comparative Causal Effect Estimation and Robust Variance for Longitudinal Data Structures with Applications to Observational HIV Treatment.
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The Good, the Bad and the Fitting: A Bayesian Hierarchical Model for Patient Preferences Elicited through Discrete Choice Experiments.
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Community composition and coexistence: The effects of temporal variation and environmental forcing on community trait distributions and diversity.
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Estimating movement rates of Atlantic Ocean tropical tunas, Katsuwonus pelamis, Thunnus albacares, and T. obesus, from tagging data.
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State-dependent life history evolution and predator -prey population dynamics.
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Projection algorithms for large scale optimization and genomic data analysis.
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Evaluation of the migrant birds protection program of Taiwan: Program problems and research methods.
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Age-parity-duration-specific measures of fertility: Application to China.
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Using protein interactome networks to understand human disease and evolution.
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Maximum likelihood and Bayesian methods for studying selection using DNA sequence data.
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Statistical methods for compositional and tree-structured count data in human microbiome studies.
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Microbiome and metagenomics: Statistical methods, computation and applications.
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Is metabolism goal-directed? Investigating the validity of modeling biological systems with cybernetic control via omic data.
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Concordance probability in censored survival model and statistical methods for longitudinal microbiome data.
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Sensitivity analysis for non-ignorable dropout of marginal treatment effect in longitudinal trials for G-computation based estimators.
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Characterizing the effects of repetitive head trauma in female soccer athletes for prevention of mild traumatic brain injury.
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Methods for functional regression and nonlinear mixed-effects models with applications to PET data.
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Modern dose-finding designs for cancer phase I trials = drug combinations and molecularly targeted agents /
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Using Ecological Theory to Investigate Emergent Properties of Populations in Aquatic Ecosystems.
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Bayesian Inference of Virus Evolutionary Models from Next-Generation Sequencing Data.
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Pathway-Based Multi-Omics Data Integration for Breast Cancer Diagnosis and Prognosis.
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Leveraging latent structure in high-dimensional data: Causality, neuroscience, and nonparametrics.
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Patent Ductus Arteriosus Ligation in Extremely Preterm Infants and Death or Neurodevelopmental Impairment.
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Quasi-Least Square (QLS) and Transition Model Approach for Clustered Longitudinal Binary Data with Multiple Sources of Correlation.
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Using Reinforcement Learning to Personalize Dosing Strategies in a Simulated Cancer Trial With High Dimensional Data.
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Semiparametric Regression and Machine Learning Methods for Estimating Optimal Dynamic Treatment Regimes.
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Combining High-performance Computing and Ecological Field Experiments to Understand Insect Outbreaks.
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Statistical Methods for Genomics Data With Clustered Structures and Missing Values.
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Using the Multilevel Generalized Mixed Model to Impute Missing Accelermometry.
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Social Determinants to Depressed Mood Symptoms and All-Cause Mortality in Older Adults.
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Population Dynamics of Hybrid Ecosystems: Implications for Marginal Ecosystem Conservation and Management.
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Learning methods in reproducing kernel Hilbert space based on high-dimensional features.
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Temporal Trends in Abundance and Habitat Preferences of Deep Reef Fishes Off the Coast of South Carolina, USA.
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Varying-Coefficient Models and Functional Data Analyses for Dynamic Networks and Wearable Device Data.
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Differential Expression Analysis of RNA-Sequencing Data: Existing and Novel Methods.
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Identifiability and regression analysis of biological systems models = statistical and mathematical foundations and R scripts /
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Statistical modeling for biological systems = in memory of Andrei Yakovlev /
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Excel 2019 for biological and life sciences statistics = a guide to solving practical problems /
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Statistical modeling in biomedical research = contemporary topics and voices in the field /
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Likelihood and Bayesian inference = with applications in biology and medicine /
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Statistical methods for global health and epidemiology = principles, methods and applications /
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Unsupervised Data-Driven Algorithms with Adaptive Metric for Pattern Recognition, Hypothesis Testing, and Image Segmentation.
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Gastrointestinal Symptoms in HIV Disease: Results from the Ontario HIV Treatment Network Cohort Study, 2007 TO 2014.
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Sampling Designs for Resource Efficient Collection of Outcome Labels for Machine-Learning, with Application to Electronic Medical Records.
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Identification of Genes/Genomic Regions Controlling Resistance to Biotic and Abiotic Stresses in Synthetic Hexaploid Wheat.
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Managing Disease Outbreaks: Current Approaches, An Artificial Intelligence Alternative, and Its Performance.
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Dynamics of the central and autonomic nervous systems preceding action and cognition.
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Modeling approaches for cost and cost-effectiveness estimation using observational data.
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Tumor Interferon Signaling Initiates and Sustains a Multigenic Resistance Program to Immune Checkpoint Blockade.
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Using the C -index to measure prediction accuracy and variable importance of random forests, with application to tissue microarray data.
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Evaluation of Clinical Trial Design Quality Using Desirability Functions.
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Performance of Genomic Prediction for a Sugarcane Commercial Breeding Program.
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Parametric and Semi-Parametric Approaches to Estimation of Survival Distributions of Treatment Strategies in Sequential Multiple Assignment Randomized Trials.
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Frequentist and Bayesian Extensions to Data-driven Likelihood Methods with Biostatistical Applications.
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Fuzzy Analytical Hierarchy Process Approach for Multicriteria Decision-making with an Application to Developing an 'Urban Greenness Index'.
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Augmenting Subnetwork Inference with Information Extracted from the Scientific Literature.
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Regularization for Variable Selection with Flexible Missingness Mechanism: Methodology, Algorithm and Application.
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Combining Survey and Census Data in Time and Space in a Developing World Context.
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Selected Problems in Survey Sampling Design and Survey Missing Data Analysis.
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Advances in Data-Driven Research Methodology for Precision Public Health.
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In Silico Comparative Evaluation of Classical and Robust Dimension Reduction for Psychological Assessment.
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Integrative analysis of multi-omics data improves genetic risk prediction and transcriptome-wide association analysis.
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High Dimensional Statistical and Computational Methods for Knowledge Discovery and Data Mining in Biomedical Data.
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Particle emission concept and probabilistic consideration of the development of infections in systems = dynamics from logarithm and exponent in the infection process, percolation effects /
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Quantitative psychology = the 85th Annual Meeting of the Psychometric Society, virtual /
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The Handbook of cuffless blood pressure monitoring = a practical guide for clinicians, researchers, and engineers /
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Efficacy analysis in clinical trials an update = efficacy analysis in an era of machine learning /
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Understanding statistics and experimental design = how to not lie with statistics /
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Statistical methods for imbalanced data in ecological and biological studies
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Spatial relationships between two georeferenced variables = with applications in R /
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Marginal models in analysis of correlated binary data with time dependent covariates
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Methods and applications of sample size calculation and recalculation in clinical trials
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The Effect of Provider Choice on Competition in the Health Insurance Market: Understanding the Trade-offs and Opportunity Costs.
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Statistical Methods for Surrogacy and Hypothesis Testing in HIV Research.
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Statistical Modeling of Multivariate Functional Data that Exhibit Complex Correlation Structures.
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Missing Data Imputation Using Machine Learning and Natural Language Processing for Clinical Diagnostic Codes.
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Investigating the Time-Varying Effects and Mediation of Physical Activity on Cravings, Negative Affect, and Daily Smoking.
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Likelihood-based Inferential Methods Testing Effect Size Measures for Stratified Correlated Binary Data with Bilateral Outcomes.
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Topics in Microbiome Data Analysis: Normalization and Differential Abundance Test and Large-Scale Human Microbe-Disease Association Prediction.
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Services for aging persons in China = spatial variations in supply and demand /
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Eco-stats = data analysis in ecology : from t-tests to multivariate abundances /
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Random walk and diffusion models = an introduction for life and behavioral scientists /
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The significance test controversy revisited = the fiducial Bayesian alternative /
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Bioinformatic and statistical analysis of microbiome data = from raw sequences to advanced modeling with QIIME 2 and R /
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Generalized linear mixed models with applications in agriculture and biology
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Fundamentals of supervised machine learning = with applications in Python, R, and Stata /
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Twenty interviews with Psychometric society presidents = what's on the mind of the psychometrician? /
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Modeling correlated outcomes using extensions of generalized estimating equations and linear mixed modeling
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Gene Regulation in the Human Brain and the Biological Mechanisms Underlying Psychiatric Disorders.
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MISL: Multiple Imputation by Super Learning and Its Applications in Population Health.
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Model-Based Multiple Imputation by Chained-Equations for Multilevel Data Below the Limit of Detection.
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Rivers, Rainfall, and Risk Factors: Geostatistical and Epidemiological Approaches to Disentangle Potential Transmission Routes of Typhoid Fever.
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Acute Kidney Injury and Recovery Predictions of Hospitalized Patients with COVID-19.
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Bayesian Learning and Calibration of Mechanistic Models and Spatiotemporal Computer Simulations.
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Advances in compositional data analysis = festschrift in honour of Vera Pawlowsky-Glahn /
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Computational and methodological statistics and biostatistics = contemporary essays in advancement /
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Human Disease Network: A Study Based on Taiwan National Health Insurance Research Database.
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Advanced Statistical Learning Methods for Heterogeneous Medical Imaging Data.
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Handling Incomplete High-Dimensional Multivariate Longitudinal Data with Mixed Data Types by Multiple Imputation Using a Longitudinal Factor Analysis Model.
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Imputation-based genetic association analysis of complex traits in admixed populations.
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Evaluating Multiple Imputation Methods for Longitudinal Healthy Aging Index-A Score Variable with Data Missing Due to Death, Dropout and Several Missing Data Mechanisms.
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Computationally Efficient Multiple Imputation Routines in Clustered Data.
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Avoiding the Redundant Effect on Regression Analyses of Including an Outcome in the Imputation Model.
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Novel Applications and Extensions for Bayesian Additive Regression Trees (BART) in Prediction, Imputation, and Causal Inference.
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Statistical Methods for the Analysis of Multi-Omics and Multi-Study Datasets.
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Accelerating Drug Development with Health-Consumer-Contributed Data and Heterogeneous Network Mining.
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Ambient Air Pollution in Massachusetts: Inequality Trends, Residential Infiltration, and Childhood Weight Growth Trajectories.
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Annotating Human Interactome to Predict Pathways and Systematically Analyzing Network Rewiring in Cancer Across Multiple Tissues.
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microRNA Regulation of Genes with Genetic Variation and their Systems-level Consequences in Cancer.
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Statistical Methods for Wearable Device Data: Applications in Clinical Studies = = 可穿戴设备数据的统计分析方法及其在临床研究中的应用.
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Methods for Correlated Observations with Applications to Genetic Association Studies.
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Multiple Testing & Optimization-based Approaches with Applications to Genome-wide Association Studies.
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Statistical and Machine Learning Methods in Cancer Genomic Data Analysis.
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The Effects of HIV, Obesity, and Methamphetamine Use on the Gastrointestinal Microbiome of Young Men Who Have Sex with Men.
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Gene Set-based Signal-Detection Analyses with Goodness-of-Fit Statistics and Their Application in Complex Diseases.
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Statistical Methods for Censored and Missing Data in Survival and Longitudinal Analysis.
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Cytoplasmic Mislocalization of CTCF by Leukemic Oncogene NPM1c in Acute Myeloid Leukemia.
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Computational Methods and Epidemiologic Approaches for Revealing the Etiology of Autoimmune Diseases.
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Bayes Factor Approaches for Region-based Analysis of Rare Variants From Next Generation Sequencing Studies.
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Modern Statistical/Machine Learning Techniques for Bio/Neuro-imaging Applications.
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Linking Human-Genetic and Host-Microbiome Associations to Molecular Mechanisms Using Protein-Protein Interaction Networks.
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Improving GWAS Phenotypes Through Bayesian and Machine Learning Approaches.
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Stop Signal Reaction Times: New Estimations with Longitudinal, Bayesian and Time Series Based Methods.
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On Simplified Bayesian Modeling for Massive Geostatistical Datasets: Conjugacy and Beyond.
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Maximum Likelihood Estimation of Species Trees and Anomaly Zone Detection Using Ranked Gene Trees.
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Comparing Healthcare Resource Use and Costs for Patients with Normal Tension Glaucoma Across Levels of Severity: A Nationally Representative Sample of Commercially Insured US Adults Age 40 and Older.
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Computational Imaging Approaches for Cancer Stromal Biomarker Characterization.
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Raman Spectroscopy and Chemometrics for Forensic Bloodstain Analysis: Species Differentiation, Donor Age Estimation, and Dating of Bloodstains.
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Redefining and Reclassifying Acute Traumatic Cervical Incomplete Spinal Cord Injury with Special Reference to Central Cord Syndrome: Implications for an Aging Population.
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Methods and Applications for Collection, Contamination Estimation, and Linkage Analysis of Large-Scale Human Genotype Data.
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Dynamic Cerebral Blood Flow Regulation in Adolescent Athletes with Sports-Related Concussion.
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Novel Statistical Methods: Quantile Estimation, Inference, and Related Applications in Medical Research.
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Risk Prediction and Calibration with Weak Supervision Using the Electronic Health Record.
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Clinical Treatment Human Disease Networks and Comparative Effectiveness Research: Analyses of the Medicare Administrative Data.
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Bayesian Nonparametric Models for Causal Inference and Clustering under Dirichlet Process Priors.
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Trans-Ethnic Meta-Analysis of Vitamin D Receptor Gene Variants in Context of Polygenic Risk, Associated with Difference in Incidence of Hypertension-Mediated Intracerebral Hemorrhage Across Ethnic Groups.
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Statistical and Machine Learning Methods for Pattern Identification in Environmental Mixtures.
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Modern Monte Carlo Methods and Their Application in Semiparametric Regression.
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Machine Learning Approaches for Extracting Biological Insights from Heterogeneous Omics Data.
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Treatment Effect Estimation and Therapeutic Optimization Using Observational Data.
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SIR -- model supported by a new density = action document for an adapted COVID-management /
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Pocket evidence based medicine = a survival guide for clinicians and students /
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Potential Vulnerability to Mental Health Consequences Related to Income Loss from Any Cause among Older Populations in New Jersey (NJ) and Pennsylvania (PA): Outlook on COVID-19-Related Income Loss.
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Advances in Spatial Statistics and Inference Methods for Markov Population Models.
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High-Dimensional Statistical Inference: Phase Transition, Power Enhancement, and Sampling.
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Prediction of Coronary Heart Disease Using Metabolite-Based Machine Learning Models.
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Methods and Theory for Nonparametric Inference in High-Dimensional Settings.
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Statistical Inference for Interactions and Infinite-Dimensional Estimands.
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New Statistical Methods for High-Dimensional Data with Complex Structures.
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Statistical Modeling for High-Dimensional Compositional Data with Applications to the Human Microbiome.
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Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders.
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Statistical Strategies and Resources for Deciphering Mechanisms of Diabetes Risk Loci.
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Dealing with Many Species: Improving Methodology for Forming and Assessing Species Complexes.
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Assessing Biomarkers of Magnesium in the Diet and for Nutritional Status.
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On Model Determination, Prediction and Statistical Learning: The Case of Space-Time Data.
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Statistical Methods to Incorporate External Summary-Level Information into a Current Study.
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Statistical Methods for Studying Heterogeneous Treatment Effects with Instrumental Variables.
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Exploring Targets of TET2-Mediated Methylation Reprogramming as Potential Therapeutic Targets and Discriminators of Prostate Cancer Progression.
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More than Clearing the Clutter: The Imperative Role of Efferocytosis in Repair and Immune Reprogramming in the Damaged Nervous System.
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Using Fine-scale Aquatic Habitat Data to Construct Dreissenid SDMs in the Laurentian Great Lakes.
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Statistical Machine Learning for Breast Cancer Detection with Terahertz Imaging.
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Optimal Transport Methods for Causal Inference, Multisample Testing, and Model Interpretation.
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Causal Inference Methods for Secondary Analysis of Randomized Screening Trials.
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Marginal Modeling and Multiple Imputation Methods for Correlated Binary Data Generated from Clinical Periodontal Examinations.
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Statistical Methods for Controlling Population Stratification and Gene-Based Association Studies.
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Robust Methods for Causal Inference and Missing Data in Electronic Health Record-Based Comparative Effectiveness Research.
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What Are the Predictors of Screening Colorectal Cancer and the Effects of COVID-19?
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Characterization of Postoperative Recovery After Cardiac Surgery- Insights into Predicting Individualized Recovery Pattern.
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Statistical Methods for the Analysis and Development of Quantitative Imaging Biomarkers.
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(Electronic resources)
The 2x2 matrix = contingency, confusion and the metrics of binary classification /
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(Electronic resources)
Introduction to data science in biostatistics = using R, the tidyverse ecosystem, and APIs /
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(Electronic resources)
A medical educator's guide to thinking critically about randomised controlled trials = deconstructing the "gold standard" /
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(Electronic resources)
Understanding Pathways Underlying Inpatient Mortality of Children with Complicated Severe Malnutrition.
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(Electronic resources)
Computational Approaches Identify Novel Risk Loci and Interactions in Heart Defects.
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(Electronic resources)
Deep Learning and Physics-Based Methods for Macromolecular Structure Prediction and Design.
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(Electronic resources)
Identifiability and regression analysis of biological systems models = statistical and mathematical foundations and R scripts /
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(Electronic resources)
Borrowing from Your Neighbors: Three Statistical Techniques from Nontraditional Sources.
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(Electronic resources)
Longitudinal Time-to-Event Graph Mining Pipeline for Musculoskeletal Injury Forecasting.
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(Electronic resources)
A Flexible Summary Statistics-Based Colocalization Method to Integrate Omics Data.
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(Electronic resources)
Can Diverse Data, Including Novel Consumer Expenditures, Predict Resource Intensive Healthcare Utilization Among Populations or Quantify Patterns in Diet Choice Among Households with Multi- Morbidity?
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(Electronic resources)
Identifying the Distinct Adaptive and Plastic Gene Expression Patterns and Microbial Indicators that Mediate Coral Disease Resistance.
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(Electronic resources)
Bayesian Meta-Analysis Methods for Improving Accuracy and Adjusting for Publication Bias.
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(Electronic resources)
Methods for Multidimensional Functional Data Analysis in Modern Neuroimaging.
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(Electronic resources)
Link, Transport, Integrate : = A Bayesian Latent Class Mixture Modeling Framework for Scalable Algorithmic Dementia Classification in Population-Representative Studies.
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(Electronic resources)
Statistical Methods for Mortality and Mobility Estimation after Natural Disasters.
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Statistical and Machine Learning Methods for Multi-Study Prediction and Causal Inference.
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(Electronic resources)
Prediction of Hospital Readmission in Heart Failure Patients : = A Data-Driven Analysis.
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(Electronic resources)
The Impact of a Daily Walking Program on the Body Mass Index of Obese Adults.
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(Electronic resources)
Understanding the Genetic Basis of Complex Traits Through Multi-Omic Studies.
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(Electronic resources)
Risk Stratification for Lung Cancer Screening Using an Epidemiologic, Molecular, and Quantitative Imaging Approach.
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(Electronic resources)
Design of an Accelerated Longitudinal Cohort to Estimate Employment Trajectories Using Multistate Models in a Population of Young Adults with Systemic Lupus Erythematosus.
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(Electronic resources)
Bayesian Clustering and Modeling Approaches for the Analysis of Brain-Imaging Data.
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(Electronic resources)
Data and Model Improvements to Quantify the Impacts of Air Pollution in Health and Environmental Justice.
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(Electronic resources)
A first course in fuzzy logic, fuzzy dynamical systems, and biomathematics = theory and applications /
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(Electronic resources)
The first discriminant theory of linearly separable data = from exams and medical diagnoses with misclassifications to 169 microarrays for cancer gene diagnosis /
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(Electronic resources)
Trends in biomathematics = exploring epidemics, eco-epidemiological systems, and optimal control strategies : selected works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2023 /
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(Electronic resources)
Functional data analysis in biomechanics = a concise review of core techniques, applications and emerging areas /
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Innovative designs and analyses for small population clinical trials = development strategies and operational engagement for pediatric and rare diseases /
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A Gaussian-Process Framework for Nonlinear Statistical Inference Using Modern Machine Learning Models.
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Is Risk Compensation Real? The Effect of Perceived Level of HIV Acquisition on Risk Behavior in a Pilot Pre-exposure Prophylaxis Demonstration Project in Men Who Have Sex With Men in Malaysia.
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(Electronic resources)
Linear mixed-effects models: Applications to the behavioral sciences and adolescent community health.
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Machine Learning-Based Assessment of Obesity: An Investigation of Model Performance and Feature Selection.
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(Electronic resources)
The Role of Educational Status and the Management of Diabetes Among Mexican Migrants on the Northern Mexican Border.
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(Electronic resources)
Statistical Machine Learning Methodology for Individualized Treatment Rule Estimation in Precision Medicine.
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Navigating the Complexity of Genetic and Phenotypic Data: Insights from Genomic Structural Equation Modeling and Assortative Mating Patterns.
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Development of Behavioral Analysis Tools for the Assessment of Threat Avoidance Learning in mPFC.
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(Electronic resources)
The Degree of Perceived Benefits of Case-Study Based Lecture by Associate Degree Nursing Students Compared to Traditional Lecture: A Quantitative Study.
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(Electronic resources)
Practical statistical learning and data science methods = case studies from LISA 2020 Global Network, USA /
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(Electronic resources)
New frontiers in statistics and data science = SPE2023, Guimarães, Portugal, October 11-14 /
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(Electronic resources)
Statistical methods for environmental mixtures = a primer in environmental epidemiology /
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(Electronic resources)
Mathematical analysis and applications in biological phenomena through modelling = ICMAAM-2023, Kolkata, India, October 9-11 /
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(Electronic resources)
Machine learning perspectives of agent-based models = practical applications to economic crises and pandemics with Python, R, Netlogo and Julia /
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(Electronic resources)
Statistical modelling for evidence-based public health = case studies in HIV/AIDS epidemiology and child and maternal health /
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(Electronic resources)
Trends in biomathematics = modeling health across ecology, social interactions, and cells : selected works from the BIOMAT Consortium Lectures, Kolympari, Greece, 2024 /
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(Electronic resources)
HIV Outcome Relationships Among Gender Inequality, Poverty, and Population Growth in Africa.
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(Electronic resources)
Statistical Methods for the Study of Effect Modification and Spatial Causal Inference: Theory and Applications.
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(Electronic resources)
Biostatistics and epidemiology = a primer for health and biomedical professionals /
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Time series and wavelet analysis = Festschrift in honor of Pedro A. Morettin /
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(Electronic resources)
Biostatistics in biopharmaceutical research and development.. Volume 2,. Clinical trial analysis
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(Electronic resources)
Biostatistics in biopharmaceutical research and development.. Volume 1,. Clinical trial design
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(Electronic resources)
Biostatistics modeling and public health applications = study design and analysis methodology in health sciences.. Volume 1 /
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(Electronic resources)
Statistical modelling and risk analysis = selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022 /
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Evaluation of Insect Meal Amended Feeds on Fish and Plant Growth Rate in a Coupled Aquaponics System.
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(Electronic resources)
Estimating Relative Indices of Groundfish Abundance From Multiple Fishery-Independent Data Sources: A Comparison of Intercalibrating Model-Based Abundance Estimators.
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(Electronic resources)
The Emergence, Distribution, and Persistence of Viral Pathogens in Swine Production Systems.
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(Electronic resources)
Novel Statistical Approaches for High-Dimensional Microbiome Data and Integrative Analysis of Single-Arm Clinical Studies and Real-World Data.
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Regularized Local Smoothing for Longitudinal Analysis with Time-Varying Coefficient Models and Transformation Models.
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(Electronic resources)
Biopsychosocial Characterization of Cognitive Decline and Late-Life Depression Trajectories Using Bayesian Consensus Clustering and Machine Learning.
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Statistics Methods for Single-Cell Genomics Data, from Multimodal Clustering to Reference Mapping.
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(Electronic resources)
Statistical and Computational Approaches for Data Integration and Constrained Variable Selection in Large Datasets.
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A TIME SERIES ANALYSIS APPROACH TO TREE RING STANDARDIZATION (DENDROCHRONOLOGY, FORESTRY, DENDROCLIMATOLOGY, AUTOREGRESSIVE PROCESS) /
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Novel Statistical Methods for Causal Inference Based on Truncated and Censored Time-to-Event Data.
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Problems in Variable Selection: False Discovery Rate Control and Variational Inference.
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Integrating Genetics and Brain Connectivity: Overcoming Statistical Challenges to Uncover the Neural Basis of Psychiatric and Behavioral Disorders.
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Wisconsin Sand Mining Operation Sites and Individuals Diagnosed With Asthma and COPD /
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(Electronic resources)
From Rain Drops to Rivers: Unraveling Aridification's Influence on Coastal Stream Ecosystem Dynamics /
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(Electronic resources)
Applying Job Characteristics Theory to Reduce the Effects of Careless Responding Behavior During Online Surveys /
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Development and Application of Robustness Evaluation Techniques for AI/ML Models Derived From Biological Data.
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The Relationship Between Nurse Staffing Ratio of Hospitals and Patient Satisfaction in Emergency Units.
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(Electronic resources)
Distributed Algorithms and Statistical Inference for Multi-Site Analyses: Unfolding the Complexity of Heterogeneity in Real-World Data.
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(Electronic resources)
Comorbidity of Disordered Eating and Depression: Examining Intersectional Inequities and Cardiometabolic Health Consequences Across the Life Course.
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Causal Inference Methods for Evaluation of Large-Scale Environmental Policy Effects Under Complex Treatment Interference.
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Comparing Welch ANOVA, a Kruskal-Wallis test, and traditional ANOVA in case of heterogeneity of variance.
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