Power and Sample Size in R

Biostatistics

A Foundation for Analysis in the Health Sciences

Quantitative Drug Safety and Benefit Risk Evaluation

Practical and Cross-Disciplinary Approaches

Handbook of Multiple Comparisons

Simultaneous Global New Drug Development

Multi-Regional Clinical Trials after ICH E17

Biostatistics and Epidemiology

A Primer for Health and Biomedical Professionals

Teaching Biostatistics in Medicine and Allied Health Sciences

Data Integration, Manipulation and Visualization of Phylogenetic Trees

Biostatistics in Biopharmaceutical Research and Development

Clinical Trial Analysis, Volume 2

Medical Educator's Guide to Thinking Critically about Randomised Controlled Trials: Deconstructing the "e;Gold Standard"e;

Innovative Designs and Analyses for Small Population Clinical Trials

Development Strategies and Operational Engagement for Pediatric and Rare Diseases

Kernel Ridge Regression in Clinical Research

Data Monitoring Committees (DMCs)

Past, Present, and Future

Pocket Evidence Based Medicine

A Survival Guide for Clinicians and Students

Errors in Medical Science Investigations

Interface between Regulation and Statistics in Drug Development

Handbook of Meta-Analysis

Quantile Regression in Clinical Research

Complete analysis for data at a loss of homogeneity

Statistics and Research Methods for Acute Care and General Surgeons

Handbook of Statistical Bioinformatics

Analysis of Data from Randomized Controlled Trials

A Practical Guide

Bioequivalence and Statistics in Clinical Pharmacology

Real-World Evidence in Drug Development and Evaluation

Experimental Design and Reproducibility in Preclinical Animal Studies

Statistics for Clinicians

How Much Should a Doctor Know?

Biostatistics With 'R': A Guide for Medical Doctors

Sample Size Calculations in Clinical Research

Analyzing Health Data in R for SAS Users

Analyzing Longitudinal Clinical Trial Data

A Practical Guide

Statistical Methods for Immunogenicity Assessment

Clinical Trial Data Analysis Using R and SAS

Applied Surrogate Endpoint Evaluation Methods with SAS and R

Joint Modeling of Longitudinal and Time-to-Event Data

Design of Experiments and Advanced Statistical Techniques in Clinical Research