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.
Machine Learning for Microbiome Statistics
1st Edition
By Yinglin Xia, Jun Sun
January 08, 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 ...
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 Set
1st Edition
By Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace
October 03, 2025
Statistical Analytics for Health Data Science with SAS and R 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 mixed-effects...
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 ...
R for Health Technology Assessment
1st Edition
Edited
By Gianluca Baio, Howard Thom, Petros Pechlivanoglou
June 29, 2025
R for Health Technology Assessment discusses the use of proper statistical software, specifically R, to perform the whole pipeline of analytic modelling in health technology assessment (HTA). It has been designed with the objective of establishing the use of R as the standard tool for HTA amongst ...
Clinical Trial Modernization: Technological, Operational, and Regulatory Advances
1st Edition
By Harry Yang, Liang Zhao
May 25, 2025
As the pharmaceutical industry navigates this new era of technological innovation, the integration of AI, big data, and advanced analytics into clinical trials holds immense potential to transform drug development. Clinical Trial Modernization: Technological, Operational, and Regulatory Advances ...
Power and Sample Size in R
1st Edition
By Catherine M. Crespi
February 06, 2025
Power and Sample Size in R guides the reader through power and sample size calculations for a wide variety of study outcomes and designs and illustrates their implementation in R software. It is designed to be used as a learning tool for students as well as a resource for experienced statisticians ...
Biostatistics for Bioassay
1st Edition
By Ann Yellowlees, Matthew Stephenson
December 24, 2024
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, ...
Cluster Randomization Trials: Statistical Design and Analysis
1st Edition
By Sin-Ho Jung
December 20, 2024
Oftentimes, small groups (called clusters) of individuals (called subunits) are randomized between treatment arms. Typically, clusters are families, classes, communities, surgeons operating patients, and so on. Such trials are called cluster randomization trials (CRTs). The subunits in each cluster...
Likelihood Methods in Survival Analysis: With R Examples
1st Edition
By Jun Ma, Annabel Webb, Harold Malcolm Hudson
October 01, 2024
Many conventional survival analysis methods, such as the Kaplan-Meier method for survival function estimation and the partial likelihood method for Cox model regression coefficients estimation, were developed under the assumption that survival times are subject to right censoring only. However, in ...
Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials
1st Edition
By Andrew P. Grieve
August 26, 2024
Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials provides a practical introduction to unconditional approaches to planning randomised clinical trials, particularly aimed at drug development in the pharmaceutical industry. This book is aimed at providing guidance to ...
Medical Statistics for Cancer Studies
1st Edition
By Trevor F. Cox
August 26, 2024
Cancer is a dreaded disease. One in two people will be diagnosed with cancer within their lifetime. Medical Statistics for Cancer Studies shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It ...