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.
Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research
1st Edition
By Chul Ahn, Moonseoung Heo, Song Zhang
June 30, 2020
Accurate sample size calculation ensures that clinical studies have adequate power to detect clinically meaningful effects. This results in the efficient use of resources and avoids exposing a disproportionate number of patients to experimental treatments caused by an overpowered study. Sample Size...
Statistical Analysis of Human Growth and Development
1st Edition
By Yin Bun Cheung
June 30, 2020
Statistical Analysis of Human Growth and Development is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development. Designed for nonstatisticians and statisticians new to the analysis of growth and ...
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 ...
Empirical Likelihood Method in Survival Analysis
1st Edition
By Mai Zhou, Mai Zhou
September 05, 2019
Add the Empirical Likelihood to Your Nonparametric ToolboxEmpirical Likelihood Method in Survival Analysis explains how to use the empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out examples with 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....