Chapman & Hall/CRC Biostatistics Series
About the Book Series
The primary objectives of the series are to provide useful reference books for researchers and scientists in academia, industry, and government, and also to offer textbooks for undergraduate and graduate courses in the areas of biostatistics and bioinformatics. The book series will provide comprehensive and unified presentations of statistical designs and analyses of important applications in biostatistics and bioinformatics, such as those in biological and biomedical research.
The scope of the series is wide, including applications of statistical methodology in biology, epidemiology, genetics, pharmaceutical science and clinical trials, public health, and medicine. The series is committed to providing easy to understand, state-of-the-art references and textbooks. In each volume, statistical concepts and methodologies will be illustrated through real world examples whenever possible.
Please contact us if you have an idea for a book for the series.
Bayesian Methods in Health Technology Assessment
1st Edition
By Gianluca Baio
October 05, 2026
Bayesian models in Health Techonology Assessment aims at presented a thorough and yet accessible description of the philosophy underlying the Bayesian approach to statistical inference, as specifically applied to the process of health technology assessment (HTA). The book is grounded in practical ...
Empirical Likelihood Method in Survival Analysis: With R Implementation, Second Edition
2nd Edition
By Mai Zhou
August 26, 2026
This book systematically covers empirical likelihood methods in most important topics in survival analysis: the Kaplan–Meier and the Nelson–Aalen estimator, the log rank test, the Cox proportional hazards model and the accelerated failure time models. In addition, it also covers an extension of the...
Every Coin Has Two Sides: An Introduction to Causal Inference in Pharmaceutical Statistics
1st Edition
By Yixin Fang
August 25, 2026
Every Coin Has Two Sides: An Introduction to Causal Inference in Pharmaceutical Statistics introduces basic and advanced statistical inference methods and causal inference methods relevant to pharmaceutical statics. This book distills seventy fundamental ideas and concepts—symbolized as gold coins,...
Master Protocol Clinical Trials for Evidence Generation: Strategies, Designs, Operations, and Case Studies
1st Edition
Edited
By Ruixiao Lu, Jingjing Ye, Chengxing (Cindy) Lu, William Wang
May 29, 2026
Drug development is at a crossroads. As personalized medicine and targeted therapies expand, traditional clinical trial models have become too slow, costly, and inefficient. To meet the urgent need for faster, reliable evidence generation and decision making, researchers and regulators alike have ...
Comparative Effectiveness and Personalized Medicine Research Using Real-World Data
1st Edition
Edited
By Thomas P. A. Debray, Tri-Long Nguyen, Robert W. Platt
May 04, 2026
Comparative effectiveness research has become essential for shaping regulatory policy, informing economic evaluations, and guiding treatment standardization across healthcare systems worldwide. While traditional randomized controlled trials remain the cornerstone of evidence generation, they have ...
Machine Learning for Microbiome Statistics
1st Edition
By Yinglin Xia, Jun Sun
February 25, 2026
Machine learning fundamentally learns from the past experiences (seen data) to make predictions about future (unseen data). Predictions in nature are often uncertain. Microbiome data have unique characteristics, including high-dimensionality, over-dispersion, sparsity and zero-inflation, and ...
Microbiome Statistics, Two-Volume Set
1st Edition
By Yinglin Xia, Jun Sun
February 25, 2026
Microbiome Statistics, Two-Volume Set addresses the statistical analysis of correlation, association, interaction, and composition in microbiome research and talks about the challenges of machine learning statistics with an emphasis on the importance of performance valuation by appropriate metrics ...
Dose-Exposure-Response Modeling: Methods and Practical Implementation
2nd Edition
By Jixian Wang
February 18, 2026
This thoroughly revised and updated new edition reflects the progress that has been made in dose-exposure-response (DER) modeling. As the title suggests, the new edition covers more topics on dose and dose adjustment. A large part of the book has been rewritten, including an updated Bayesian ...
Biostatistics for Bioassay
1st Edition
By Ann Yellowlees, Matthew Stephenson
January 25, 2026
In recent decades, there has been enormous growth in biologics research and development, with the accompanying development of biological assays for emerging products. In parallel, there have been substantial advances in statistical methodology, as well as technological advances in computer power, ...
Group Sequential and Adaptive Methods for Clinical Trials
2nd Edition
By Christopher Jennison, Bruce W. Turnbull
December 08, 2025
In clinical trials, monitoring accumulating data at regular intervals is essential for balancing ethical and financial considerations against scientific rigor. This comprehensive second edition reflects the remarkable evolution in adaptive clinical trial methodology over the past two decades. Since...
Statistical Analytics for Health Data Science with SAS and R, Two-Volume Set
1st Edition
By Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace
November 14, 2025
Statistical Analytics for Health Data Science with SAS and R, Two-Volume Set compiles fundamental statistical principles with advanced analytical techniques and covers a wide range of statistical methodologies including models for longitudinal data with time-dependent covariates, multi-membership ...
Advanced Statistical Analytics for Health Data Science with SAS and R
1st Edition
By Ding-Geng (Din) Chen, Jeffrey Wilson
September 16, 2025
In recent years, there has been a growing emphasis on making statistical methods and analytics accessible to health data science researchers and students. Following the first book on "Statistical Analytics for Health Data Science with SAS and R" (2023, www.routledge.com/9781032325620), this book ...