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.
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
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
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
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
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
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 ...
Statistical Testing Strategies in the Health Sciences
1st Edition
By Albert Vexler, Alan D. Hutson, Xiwei Chen
August 29, 2022
Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap ...
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 ...
Cluster Randomised Trials
2nd Edition
By Richard J. Hayes, Lawrence H. Moulton
July 12, 2022
Cluster Randomised Trials, Second Edition discusses the design, conduct, and analysis of trials that randomise groups of individuals to different treatments. It explores the advantages of cluster randomisation, with special attention given to evaluating the effects of interventions against ...
Statistical Approaches in Oncology Clinical Development: Current Paradigm and Methodological Advancement
1st Edition
Edited
By Satrajit Roychoudhury, Soumi Lahiri
June 14, 2022
Statistical Approaches in Oncology Clinical Development : Current Paradigm and Methodological Advancement presents an overview of statistical considerations in oncology clinical trials, both early and late phase of development. It illustrates how novel statistical methods can enrich the design and ...
Innovative Methods for Rare Disease Drug Development
1st Edition
By Shein-Chung Chow
May 30, 2022
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 ...
Bayesian Designs for Phase I-II Clinical Trials
1st Edition
By Ying Yuan, Hoang Q. Nguyen, Peter F. Thall
December 13, 2021
Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to ...