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.
Statistical Design and Analysis of Stability Studies
1st Edition
By Shein-Chung Chow
June 30, 2020
The US Food and Drug Administration's Report to the Nation in 2004 and 2005 indicated that one of the top reasons for drug recall was that stability data did not support existing expiration dates. Pharmaceutical companies conduct stability studies to characterize the degradation of drug products ...
Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare
1st Edition
By 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 ...
Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny
1st Edition
By 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 ...
Generalized Linear Models: A Bayesian Perspective
1st Edition
Edited
By 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
1st Edition
By 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
1st Edition
Edited
By 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
1st Edition
Edited
By 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 ...
Applied Statistical Designs for the Researcher
1st Edition
By 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 ...
Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis
1st Edition
Edited
By Stephen L. George, Xiaofei Wang, Herbert Pang
March 22, 2019
Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis provides statisticians with an understanding of the critical challenges currently encountered in oncology trials. Well-known statisticians from academic institutions, regulatory and government agencies (such as the U.S....
Clinical Trial Optimization Using R
1st Edition
Edited
By Alex Dmitrienko, Erik Pulkstenis
March 22, 2019
Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies. It provides the clinical researcher with a powerful evaluation paradigm, as well as ...
Data and Safety Monitoring Committees in Clinical Trials
2nd Edition
By Jay Herson
March 22, 2019
Praise for the first edition: "Given the author’s years of experience as a statistician and as a founder of the first DMC in pharmaceutical industry trials, I highly recommend this book—not only for experts because of its cogent and organized presentation, but more importantly for young ...
Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies
1st Edition
By Mark Chang
October 25, 2018
Helping you become a creative, logical thinker and skillful "simulator," Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies provides broad coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to ...