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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.

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Structural Equation Modeling for Health and Medicine

Structural Equation Modeling for Health and Medicine

1st Edition

Forthcoming

Douglas Gunzler, Adam T. Perzynski, Adam Christopher Carle
March 30, 2021

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, we look to make SEM accessible to a wider audience of researchers across many ...

Advanced Survival Models

Advanced Survival Models

1st Edition

Forthcoming

Catherine Legrand
March 23, 2021

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 ...

Statistical Meta-Analysis using R and Stata

Statistical Meta-Analysis using R and Stata

2nd Edition

Forthcoming

Ding-Geng (Din) Chen, Karl E. Peace
March 11, 2021

Applied Meta-Analysis Using R and Stata, Second Edition provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step-by-step using appropriate R/Stata functions, which enables readers to gain an understanding ...

Real-World Evidence in Drug Development and Evaluation

Real-World Evidence in Drug Development and Evaluation

1st Edition

Forthcoming

Harry Yang, Binbing Yu
February 16, 2021

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 ...

Bayesian Analysis of Infectious Diseases COVID-19 and Beyond

Bayesian Analysis of Infectious Diseases: COVID-19 and Beyond

1st Edition

Forthcoming

Lyle D. Broemeling
January 20, 2021

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 ...

Cure Models Methods, Applications, and Implementation

Cure Models: Methods, Applications, and Implementation

1st Edition

Forthcoming

Yingwei Peng, Binbing Yu
December 18, 2020

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 ...

Medical Risk Prediction Models With Ties to Machine Learning

Medical Risk Prediction Models: With Ties to Machine Learning

1st Edition

Forthcoming

Thomas A. Gerds, Michael W. Kattan
December 18, 2020

Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book is 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 ...

Innovative Methods for Rare Disease Drug Development

Innovative Methods for Rare Disease Drug Development

1st Edition

Forthcoming

Shein-Chung Chow
November 12, 2020

In the United States, a rare disease is defined by the Orphan Drug Act as a disorder or condition that affects fewer than 200,000 persons. For the approval of "orphan" drug products for rare diseases, the traditional approach of power analysis for sample size calculation is not feasible because ...

Interface between Regulation and Statistics in Drug Development

Interface between Regulation and Statistics in Drug Development

1st Edition

Forthcoming

Demissie Alemayehu, Birol Emir, Michael Gaffney
November 12, 2020

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 ...

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

1st Edition

Mark Chang
May 05, 2020

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer ...

Bayesian Methods in Pharmaceutical Research

Bayesian Methods in Pharmaceutical Research

1st Edition

Emmanuel Lesaffre, Gianluca Baio, Bruno Boulanger
April 27, 2020

Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian ...

Biomarker Analysis in Clinical Trials with R

Biomarker Analysis in Clinical Trials with R

1st Edition

Nusrat Rabbee
April 01, 2020

The world is awash in data. This volume of data will continue to increase. In the pharmaceutical industry, much of this data explosion has happened around biomarker data. Great statisticians are needed to derive understanding from these data. This book will guide you as you begin the journey into ...

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