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BOOK SERIES


Chapman & Hall/CRC Biostatistics Series


About the 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.

124 Series Titles

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Quantitative Methods for Precision Medicine Pharmacogenomics in Action

Quantitative Methods for Precision Medicine: Pharmacogenomics in Action

1st Edition

Forthcoming

By Rongling Wu
December 26, 2022

Modern medicine is undergoing a paradigm shift from a "one-size-fits-all" strategy to a more precise patient-customized therapy and medication plan. While the success of precision medicine relies on the level of pharmacogenomic knowledge, dissecting the genetic mechanisms of drug response in a ...

Case Studies in Bayesian Methods for Biopharmaceutical CMC

Case Studies in Bayesian Methods for Biopharmaceutical CMC

1st Edition

Forthcoming

Edited By Paul Faya, Tony Pourmohamad
December 21, 2022

The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (CMC) studies in the biopharmaceutical industry. The book has multiple authors from industry and academia, each contributing a case study (chapter). The collection of case studies covers a broad array of ...

Drug Development for Rare Diseases

Drug Development for Rare Diseases

1st Edition

Forthcoming

Edited By Bo Yang, Yang Song, Yijie Zhou
December 15, 2022

A disease is defined as rare if the prevalence is fewer than 200,000 in the United States. It is estimated that there are more than 7,000 rare diseases, which collectively affect 30 million Americans or 10% of the US population. This diverse and complex disease area poses challenges for patients, ...

Digital Therapeutics Strategic, Scientific, Developmental, and Regulatory Aspects

Digital Therapeutics: Strategic, Scientific, Developmental, and Regulatory Aspects

1st Edition

Forthcoming

Edited By Oleksandr Sverdlov, Joris van Dam
December 13, 2022

One of the hallmarks of the 21st century medicine is the emergence of digital therapeutics (DTx)—evidence-based, clinically validated digital technologies to prevent, diagnose, treat, and manage various diseases and medical conditions. DTx solutions have been gaining interest from patients, ...

Model-Assisted Bayesian Designs for Dose Finding and Optimization Methods and Applications

Model-Assisted Bayesian Designs for Dose Finding and Optimization: Methods and Applications

1st Edition

Forthcoming

By Ying Yuan, Ruitao Lin, J. Jack Lee
October 04, 2022

Bayesian adaptive designs provide a critical approach to improve the efficiency and success rate of drug development that has been embraced by the US Food and Drug Administration (FDA). This is particularly important for early phase trials as they forms the basis for the development and success of ...

Data Science, AI, and Machine Learning in Drug Development

Data Science, AI, and Machine Learning in Drug Development

1st Edition

Forthcoming

Edited By Harry Yang
October 03, 2022

The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse ...

Advanced Survival Models

Advanced Survival Models

1st Edition

Forthcoming

By Catherine Legrand
September 26, 2022

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in medical research. During the last twenty years, several extensions of "classical" survival models have been developed to address particular ...

Applied Meta-Analysis with R and Stata

Applied Meta-Analysis with R and Stata

2nd Edition

Forthcoming

By Ding-Geng (Din) Chen, Karl E. Peace
September 26, 2022

Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; ...

Cure Models Methods, Applications, and Implementation

Cure Models: Methods, Applications, and Implementation

1st Edition

Forthcoming

By Yingwei Peng, Binbing Yu
September 26, 2022

Cure Models: Methods, Applications and Implementation is the first book in the last 25 years that provides a comprehensive and systematic introduction to the basics of modern cure models, including estimation, inference, and software. This book is useful for statistical researchers and graduate ...

Structural Equation Modeling for Health and Medicine

Structural Equation Modeling for Health and Medicine

1st Edition

Forthcoming

By Douglas D. Gunzler, Adam T. Perzynski, Adam C. Carle
September 26, 2022

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across...

Bayesian Analysis of Infectious Diseases COVID-19 and Beyond

Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond

1st Edition

Forthcoming

By Lyle D. Broemeling
August 29, 2022

Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. The book describes the foundation of Bayesian statistics while explicating the biology and ...

Medical Risk Prediction Models With Ties to Machine Learning

Medical Risk Prediction Models: With Ties to Machine Learning

1st Edition

Forthcoming

By Thomas A. Gerds, Michael W. Kattan
August 29, 2022

Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data. The subject of the book is the patient’s individualized probability of a ...

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