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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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Bayesian Methods in Pharmaceutical Research

Bayesian Methods in Pharmaceutical Research

1st Edition

Forthcoming

Emmanuel Lesaffre, Gianluca Baio, Bruno Boulanger
April 15, 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...

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

1st Edition

Forthcoming

Mark Chang
April 02, 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...

Biomarker Analysis in Clinical Trials with R

Biomarker Analysis in Clinical Trials with R

1st Edition

Forthcoming

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...

Estimands, Estimators and Sensitivity Analysis in Clinical Trials

Estimands, Estimators and Sensitivity Analysis in Clinical Trials

1st Edition

Craig Mallinckrodt, Geert Molenberghs, Ilya Lipkovich, Bohdana Ratitch
February 10, 2020

The concepts of estimands, analyses (estimators), and sensitivity are interrelated. Therefore, great need exists for an integrated approach to these topics. This book acts as a practical guide to developing and implementing statistical analysis plans by explaining fundamental concepts using...

Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny

Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny

1st Edition

Paula Moraga
November 25, 2019

Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal patterns, identify risk factors, and measure inequalities. Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny...

Innovative Statistics in Regulatory Science

Innovative Statistics in Regulatory Science

1st Edition

Shein-Chung Chow
November 07, 2019

Statistical methods that are commonly used in the review and approval process of regulatory submissions are usually referred to as statistics in regulatory science or regulatory statistics. In a broader sense, statistics in regulatory science can be defined as valid statistics that are employed in...

Generalized Linear Models: A Bayesian Perspective

Generalized Linear Models: A Bayesian Perspective

1st Edition

Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick
November 01, 2019

This volume describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using simulation. Introducing dynamic modeling for GLMs and containing over 1000 references...

Elementary Bayesian Biostatistics

Elementary Bayesian Biostatistics

1st Edition

Lemuel A. Moyé
October 18, 2019

Bayesian analyses have made important inroads in modern clinical research due, in part, to the incorporation of the traditional tools of noninformative priors as well as the modern innovations of adaptive randomization and predictive power. Presenting an introductory perspective to modern Bayesian...

Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics

1st Edition

Dipak K. Dey, Samiran Ghosh, Bani K. Mallick
October 17, 2019

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad...

Meta-Analysis in Medicine and Health Policy

Meta-Analysis in Medicine and Health Policy

1st Edition

Dalene Stangl, Donald A. Berry
October 17, 2019

This remarkable text raises the analysis of data in health sciences and policy to new heights of refinement and applicability by introducing cutting-edge meta-analysis strategies while reviewing more commonly used techniques. Each chapter builds on sound principles, develops methodologies to solve...

Bayesian Applications in Pharmaceutical Development

Bayesian Applications in Pharmaceutical Development

1st Edition

Mani Lakshminarayanan, Fanni Natanegara
October 11, 2019

The cost for bringing new medicine from discovery to market has nearly doubled in the last decade and has now reached $2.6 billion. There is an urgent need to make drug development less time-consuming and less costly. Innovative trial designs/ analyses such as the Bayesian approach are essential to...

Applied Statistical Designs for the Researcher

Applied Statistical Designs for the Researcher

1st Edition

Daryl S. Paulson
September 27, 2019

Showcasing a discussion of the experimental process and a review of basic statistics, this volume provides methodologies to identify general data distribution, skewness, and outliers. It features a unique classification of the nonparametric analogs of their parametric counterparts according to the...

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