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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.

139 Series Titles

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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

By Ying Yuan, Ruitao Lin, J. Jack Lee
November 11, 2022

Bayesian adaptive designs provide a critical approach to improve the efficiency and success 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 form 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

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

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

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

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

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

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

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 ...

Real-World Evidence in Drug Development and Evaluation

Real-World Evidence in Drug Development and Evaluation

1st Edition

Edited By Harry Yang, Binbing Yu
August 29, 2022

Real-world evidence (RWE) has been at the forefront of pharmaceutical innovations. It plays an important role in transforming drug development from a process aimed at meeting regulatory expectations to an operating model that leverages data from disparate sources to aid business, regulatory, and ...

Real-World Evidence in a Patient-Centric Digital Era

Real-World Evidence in a Patient-Centric Digital Era

1st Edition

Edited By Kelly H. Zou, Lobna A. Salem, Amrit Ray
August 03, 2022

Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in ...

Interface between Regulation and Statistics in Drug Development

Interface between Regulation and Statistics in Drug Development

1st Edition

By Demissie Alemayehu, Birol Emir, Michael Gaffney
August 01, 2022

With the critical role of statistics in the design, conduct, analysis and reporting of clinical trials or observational studies intended for regulatory purposes, numerous guidelines have been issued by regulatory authorities around the world focusing on statistical issues related to drug ...

Medical Statistics for Cancer Studies

Medical Statistics for Cancer Studies

1st Edition

By Trevor F. Cox
June 23, 2022

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 ...

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