Biology, Biostatistics.
概要
| 作品: | 392 作品在 0 項出版品 0 種語言 | |
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書目資訊
Development of microarray genomic biomarkers and their application in clinical trials.
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Racial variation in long-term risk of cardiovascular disease mortality with regards to diabetes and hypertension.
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Enhanced inter-study prediction and biomarker detection in microarray with application to cancer studies.
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Mammographic density and different breast cancer subtypes defined by prognostic biomarkers.
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Statistical methods for analyzing genomic data with consideration of spatial structures.
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Tensor generalizations of the singular value decomposition for integrative analysis of large-scale molecular biological data.
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Experimental design and the detection of adaptive molecular divergence in phylogenetics and genomics.
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Statistical methods in integrative analysis of gene expression data with applications to biological pathways.
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Development and application of computational tools to simultaneously discover and test deletions for disease association in SNP genotyping studies.
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SVM and a novel POOL method coupled with THEMATICS for protein active site prediction.
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Computational methods for finding regulatory DNA motifs using sequence characteristics and positional preferences.
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Generalizations of the topological overlap measure for neighborhood analysis and module detection in gene and protein networks.
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Computational methods for protein-protein complex structure prediction and mass spectrometry-based protein identification.
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Smoothing analysis of variance for general designs and partitioning degrees of freedom in hierarchical and other richly-parameterized models.
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New clustering and feature selection procedures with applications to gene microarray data.
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Statistical aspects of quarantine interventions and incubation periods in epidemics.
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Estimating causal treatment effects for post-randomization marker data with failure event censoring.
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Watchful waiting active surveillance in prostate cancer patients - A population-based study using the SEER-Medicare linked database.
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Using structural information in modeling and multiple alignments for phylogenetics.
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The effect of HIV-1 subtypes on HIV transmission and disease progression in Rakai District, Uganda.
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Fast Bayesian methods for genetic mapping applicable for high-throughput datasets.
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Genetic association analyses of time-to-event data: Selection bias and imputation with examples from the Framingham Heart Study.
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Resampling approach for estimating prediction error and for adjusting logistic regression models for covariate measurement error.
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Univariate polytomous ordinal regression analysis with application to diabetic retinopathy data.
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Latent variable models for longitudinal data with multiple outcomes, informative dropouts and missing covariates.
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Measurement error in covariates in the marginal failure time model for multivariate data.
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Efficiency of Markov chain Monte Carlo algorithms for Bayesian inference in random regression models.
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Applied bioinformatic and statistical approaches to complex disorder gene mapping.
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Modeling of silent events and evaluation of biomarkers in a prospective study with scheduled follow-up.
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An integrative computational analysis of the human transcriptome: Genomic structure, expression patterns and regulatory controls.
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Adaptation and use of four-body statistical potential to examine thermodynamic properties of proteins.
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Combining multiple biomarker models in logistic regression and survival analysis: Model combining and instability measure.
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Neural network and bioinformatic designs for predicting HIV protease inhibitor resistance.
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Text mining comorbidity codes in the analysis of cardiopulmonary rehabilitation data.
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Using simulation to study behaviors of parameter estimates in non-linear regression models.
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Development and evaluation of standardized stroke outcome measures in a population of stroke patients in rural China.
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Consequences of habitat fragmentation: Connectivity lies in the eye of the beholder.
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Reliability and validity of an expert exposure assessment using log-linear models.
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Statistical models for removing microarray batch effects and analyzing genome tiling microarrays.
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Statistical methods for the detection and quantification of infectious disease epidemics.
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Quantitative trait linkage analysis of Saccharomyces cerevisiae gene expression data.
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Some statistical properties of the GOM model: A fuzzy classification method for multivariate discrete data.
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Practical issues in Gibbs sampler implementation with application to Bayesian hierarchical modeling of clinical trial data.
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A population-based, case-control study of lung cancer and indoor air pollution among nonsmoking women living in Shanghai, China.
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Classification with high-dimensional predictors and qualitative response. Applications to genetics.
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Using mixed effects models to integrate high-dimensional, genomic data and an array-based analysis of the evolution of brain aging.
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Advances in the prediction and understanding of transcriptional regulation in yeast.
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New approaches to finding biomarkers: Application to renal clear-cell carcinoma and breast cancer.
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Development of structure-based computational methods for prediction and design of protein-protein interactions.
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Comparing gene expression profiles of cell culture models with profiles of tumor xenografts and patient tumors: Implications for lung and breast cancers.
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Genomic responses to smoking-induced lung injury: Identifying biomarkers for lung cancer and emphysema.
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Bayesian analysis of infectious disease time series data and optimal constrained Bayesian updating.
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Evaluation of statistical methods to detect epistasis and application to the DISC1 pathway and risk for schizophrenia.
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Antibiotic use in secondary prevention of cardiovascular disease: A pharmacoepidemiology study.
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A novel statistical method for microarray data integration: Applications to cancer research.
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Fighting the curse of dimensionality: A method for model validation and uncertainty propagation for complex simulation models.
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Cumulative logit - Poisson and cumulative logit - negative binomial compound regression models for count data.
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Group sequential designs and inference of a medical diagnostic test with binary outcomes.
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Severity of illness scoring in the intensive care unit: A comparison of logistic regression and artificial neural networks.
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The RNA world: A look at ribonuclease P RNA, small nucleolar RNA, 6S RNA, and the small ribosomal subunit.
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Bayesian inference for correlated binary data with an application to diabetes complication progression.
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Statistical complications of infectious disease data: Causal inference, multiple testing and machine learning.
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Why physicians do or do not use computerized physican order entry systems: Applying the Technology Acceptance Model.
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Statistical methods for community-based cancer interventions and health disparities research.
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Functional annotation of genomes by combination of sequence, expression and regulatory data.
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Evaluating the value of adding diagnostic symptoms using posterior probability and sensitivity/specificity procedures.
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Identification of neuroblastoma and its prognostic markers using Raman spectroscopy.
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Modeling nonignorable missing data for clustered longitudinal discrete outcomes: A Bayesian approach.
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Regression methods of time-dependent ROC curve for evaluating the prognosis capacity of biomarkers.
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Modelling Spatial Dependence in Multivariate Regression Models of Grizzly Bear Health in Alberta, Canada.
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Extended homozygosity score tests to detect positive selection in genome-wide scans.
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Estimation and inference in high dimensional networks, with applications to biological systems.
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Prediction of transcription factor binding sites using information from multiple species.
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Final report: The medicolegal officer and the social production of public health statistics.
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A hierarchical multivariate two-part model for profiling providers' effects on healthcare charges.
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Computational analyses of microbial genomes: Operons, protein families and lateral gene transfer.
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Comparative functional genomics of energy metabolism and insulin resistance in mammalian systems.
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Discriminant analysis using multi-gene profiles in molecular classification of breast cancer.
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Statistical and computational methods for molecular signature analysis with applications.
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Reliability of a statistical instrument for predicting BRCA1/BRCA2 genetic mutation carrier status.
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Statistical methods in the design and analysis of gene expression data from cDNA microarray experiments.
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A method for evaluating outbreak detection in public health surveillance systems that use administrative data.
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The performance of missing data treatments for longitudinal data with a time-varying covariate.
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Bootstrap resampling in wavelet analysis and statistical methodologies in ecological research.
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Microarray analysis: Choice of metric, new clustering algorithm and identification of transcription factors.
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Investigating the detectability of environmental risk in breast cancer surveillance data: A simulation study.
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Computational approaches to study functional and structural effects of single point mutations.
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Componentes principales supervisados para clasificacion de datos de expresion genetica (Spanish text).
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Non-parametric parameter estimation and clinical data fitting with a model of HIV infection.
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Global analysis of drug resistance and viral fitness mutations and their evolutionary dynamics in HIV-1.
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Associations of physical fitness and other risk factors with cardiovascular and non-violent mortality.
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Candidate gene-association mapping for dissecting fungal disease resistance in loblolly pine.
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Probability approximations with applications in computational finance and computational biology.
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Searching for remotely homologous sequences in protein databases with hybrid PSI-BLAST.
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Nonparametric methods for receiver operating characteristic (ROC) curve analysis in genomic studies and diagnostic medicine.
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Measurement invariance across cultures: A comparison between Chinese adolescents in China and in United States.
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Mammalian ultraconserved sequences avoid segmental duplications and copy-number variants.
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Family-based association studies of the genetic determinants of renal sodium handling.
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A quantitative trait linkage method for longitudinal pedigree data and its application.
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Multilevel models with binary responses: An application to group-randomized intervention trials with small number of clusters.
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Analysis of stratified longitudinal studies using generalized estimating equations with data missing at random.
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General design Bayesian generalized linear mixed models with applications to spatial statistics.
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Statistical issues in the analysis of the DNA microarray data: Normalization and differential expression.
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Optimal design of single factorcDNA microarray experiments and mixed models for gene expression data.
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Human immunodeficiency virus type 1 genome variability: Recombination and emergence of resistance.
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Statistical design and analysis of high throughput screening data using pooling experiments and data mining techniques.
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Covariate adjustment, model misspecification, and goodness-of-fit in logistic regression.
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Sequential Monte Carlo and Dirichlet mixtures for extracting protein alignment models.
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NPMLE in estimating the number of expressed genes using EST data while accounting for measurement error.
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Effect of outdoor air pollution on hospital admissions for asthma in Detroit, Michigan.
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Marginally specified conditional models for longitudinal outcomes with possibly non-ignorable non-response.
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Genetic algorithm for continuous variable optimization with applications to queuing network and gene-clustering problems.
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Tests d'hypotheses et intervalles de confiance appliques aux coefficients d'apparentement (French text).
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An analysis of voluntary national biometric identification cards as a means to prevent identity fraud (California).
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Minimizing breast cancer symptomatology in recurrence prediction using artificial neural networks.
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Biological knowledge discovery through mining multiple sources of high-throughput data.
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Identification of mutations affecting liability to complex disease by the analysis of haplotypes.
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Molecular systematics of therian orders and the molecular evolution of the apolipoprotein B gene across mammals.
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Testing a model of eight factors as predictors of glycemic control in children with diabetes.
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Can molecular data really shake the mammalian tree? The quality of evidence from complete mitochondrial DNA sequences.
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A comparison of three methods used to determine functionally important protein residues.
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A spatio-temporal modeling of Schistosomiasis transmission dynamics and control in Sichuan, China.
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Habitat associations of rare species: A case study using Columbia spotted frogs (Rana luteiventris) in Utah (Utah).
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Discriminating between measures of discrimination: A comparison of ROC area to alternatives.
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Simultaneous detection of linkage and linkage disequilibrium for families with an affected sib-pair.
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Exceptions in protein superfamilies involved in exocytosis: Computational and biochemical studies.
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Statistical tests for small-sample correlated data with applications to DNA microarray data.
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A study of the efficacy of screening for breast cancer based on the Health Insurance Plan data.
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Combinatorial enhancements of logical analysis of data: Applications to genomics, proteomics and biomaterial design.
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New approaches for the analysis of multivariate time-to-event data using generalized linear models.
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Neutral Markers, Quantitative Genetics and the Use of Statistics to Inform Conservation.
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Simultaneous variable selection and outlier detection using LASSO with applications to aircraft landing data analysis.
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Combining information for heterogeneous studies and rare events studies: A confidence distribution approach.
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Analysis of big data by split-and-conquer and penalized regressions: New methods and theories.
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Challenges in the Ethical Conduct and Ethics Review of Cluster Randomized Trials: A Survey of Cluster Randomization Trialists.
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Some recent advances in multivariate statistics: Modality inference and statistical monitoring of clinical trials with multiple co-primary endpoints.
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Estimating Network Features and Associated Measures of Uncertainty and Their Incorporation in Network Generation and Analysis.
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Empirical likelihood tests for stochastic ordering based on censored and biased data.
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Statistical methods for effect estimation in biomedical research: Robustness and efficiency.
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Estimating the Health Effects of Environmental Exposures: Statistical Methods for the Analysis of Spatio-temporal Data.
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Statistical methods for the assessment of safety and efficacy in HIV clinical trials.
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