Medical statistics.

Basic statistics for the health sciences / by: (Language materials, printed)

Clinical prediction models = a practical approach to development, validation, and updating / by: (Language materials, printed)

Health statistics = shaping policy and practice to improve the population's health / by: (Language materials, printed)

Practical biostatistics = a user-friendly approach for evidence-based medicine / by: (Electronic resources)

Statistical methods in healthcare by: (Electronic resources)

Meta-analysis with R by: (Electronic resources)

Statistical testing strategies in the health sciences / by: (Language materials, printed)

Biostatistics and computer-based analysis of health data using R by: (Electronic resources)

Exploring the health state of a population by dynamic modeling methods by: (Electronic resources)

Modern Bayesian statistics in clinical research by: (Electronic resources)

A biostatistics toolbox for data analysis by: (Electronic resources)

Statistical remedies for medical researchers by: (Electronic resources)

Statistical modeling in biomedical research = contemporary topics and voices in the field / by: (Electronic resources)

Regression analysis in medical research = for Starters and 2nd Levelers / by: (Electronic resources)

Statistical, mapping and digital approaches in healthcare by: (Electronic resources)

Statistics in medicine by: (Electronic resources)

Modern statistical methods for health research by: (Electronic resources)

Design of experiments and advanced statistical techniques in clinical research by: (Electronic resources)

Kernel ridge regression in clinical research by: (Electronic resources)

Using predictive analytics to improve healthcare outcomes by: (Electronic resources)

Data-driven approach for bio-medical and healthcare by: (Electronic resources)

Structural equation modeling for health and medicine / by: (Language materials, printed)

Making sense of medical statistics by: (Electronic resources)

Data analysis of medical studies = reading and reporting / by: (Electronic resources)

Basic principles of applied medical statistics = a practical guide / by: (Electronic resources)

Biostatistics : = a foundation for analysis in the health sciences / by: (Language materials, printed)

Fundamentals of biostatistics / by: (Language materials, printed)

The life table and its applications / by: (Language materials, printed)

Survival models and data analysis / by: (Language materials, printed)

Statistics for the life sciences / by: (Language materials, printed)

Statistics : = a biomedical introduction / by: (Language materials, printed)

Medical statistics : = a commonsense approach / by: (Language materials, printed)

Statistical analysis of medical data : = new developments / by: (Language materials, printed)

Applied longitudinal analysis / by: (Language materials, printed)

Probability, statistics and modelling in public health / by: (Language materials, printed)

PDQ statistics by: (Electronic resources)

Basic statistics and epidemiology = a practical guide / by: (Electronic resources)

Basic skills in statistics = a guide for healthcare professionals / by: (Electronic resources)

Key topics in clinical research = a user guide to researching, analyzing, and publishing clinical data / by: (Electronic resources)

Medical statistics made easy by: (Electronic resources)

Dicing with death = chance, risk, and health / by: (Electronic resources)

Basic allied health statistics and analysis by: (Electronic resources)

Statistics in medicine by: (Language materials, printed)

Dicing with Death : = Chance, Risk and Health. by: (Electronic resources)

Statistical methods in diagnostic medicine / by: (Language materials, printed)

Quantifying morphology and physiology of the human body using MRI by: (Electronic resources)

Biostatistics decoded / by: (Language materials, printed)

Converting data into evidence : = a statistics primer for the medical practioner / by: (Language materials, printed)

Multiple imputation and its application by: (Electronic resources)

Statistical literacy for clinical practitioners by: (Electronic resources)

Medical statistics and computer experiments by: (Electronic resources)

Introductory statistics for health and nursing using SPSS by: (Electronic resources)

Survival analysis in medicine and genetics / by: (Language materials, printed)

Ordered data analysis, modeling and health research methods = in honor of H. N. Nagaraja's 60th Birthday / by: (Electronic resources)

Health disparities in respiratory medicine by: (Electronic resources)

Advanced medical statistics by: (Electronic resources)

Fundamentals of biostatistics / by: (Language materials, printed)

Health and lifestyle = separating the truth from the myth with statistics / by: (Electronic resources)

Bioequivalence and statistics in clinical pharmacology / by: (Language materials, printed)

Applications of regression models in epidemiology / by: (Language materials, printed)

Medical statistics = for beginners / by: (Electronic resources)

Optimization of behavioral, biobehavioral, and biomedical interventions = The Multiphase Optimization Strategy (MOST) / by: (Electronic resources)

Statistics for advanced practice nurses and health professionals / by: (Electronic resources)

Biostatistics in public health using STATA by: (Electronic resources)

Applied statistical considerations for clinical researchers by: (Electronic resources)

Statistics for clinicians = how much should a doctor know? / by: (Electronic resources)

Statistics for clinicians by: (Electronic resources)

Interpreting statistical findings = a guide for health professionals and students / by: (Electronic resources)

Quantitative demography and health estimates = healthy life expectancy, templates for direct estimates from life tables and other applications / by: (Electronic resources)

Applied biostatistics for the health sciences by: (Electronic resources)

Bayesian filter design for computational medicine = a state-space estimation framework / by: (Electronic resources)

Textbook of medical statistics = for medical students / by: (Electronic resources)

Multiple imputation and its application by: (Electronic resources)