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.
Power and Sample Size in R
1st Edition
By Catherine M. Crespi
February 06, 2025
Power and Sample Size in R guides the reader through power and sample size calculations for a wide variety of study outcomes and designs and illustrates their implementation in R software. It is designed to be used as a learning tool for students as well as a resource for experienced statisticians ...
Cluster Randomization Trials: Statistical Design and Analysis
1st Edition
By Sin-Ho Jung
December 20, 2024
Oftentimes, small groups (called clusters) of individuals (called subunits) are randomized between treatment arms. Typically, clusters are families, classes, communities, surgeons operating patients, and so on. Such trials are called cluster randomization trials (CRTs). The subunits in each cluster...
Bayesian Adaptive Methods for Clinical Trials
1st Edition
By Scott M. Berry, Bradley P. Carlin, J. Jack Lee, Peter Muller
October 14, 2024
Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimer’s disease and multiple sclerosis to obesity, diabetes, hepatitis C, and HIV. Written by leading pioneers ...
Frailty Models in Survival Analysis
1st Edition
By Andreas Wienke
October 14, 2024
The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. ...
Likelihood Methods in Survival Analysis: With R Examples
1st Edition
By Jun Ma, Annabel Webb, Harold Malcolm Hudson
October 01, 2024
Many conventional survival analysis methods, such as the Kaplan-Meier method for survival function estimation and the partial likelihood method for Cox model regression coefficients estimation, were developed under the assumption that survival times are subject to right censoring only. However, in ...
Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials
1st Edition
By Andrew P. Grieve
August 26, 2024
Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials provides a practical introduction to unconditional approaches to planning randomised clinical trials, particularly aimed at drug development in the pharmaceutical industry. This book is aimed at providing guidance to ...
Medical Statistics for Cancer Studies
1st Edition
By Trevor F. Cox
August 26, 2024
Cancer is a dreaded disease. One in two people will be diagnosed with cancer within their lifetime. Medical Statistics for Cancer Studies shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It ...
Real-World Evidence in a Patient-Centric Digital Era
1st Edition
Edited
By Kelly H. Zou, Lobna A. Salem, Amrit Ray
August 26, 2024
Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance, real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in ...
Association Models in Epidemiology: Study Designs, Modeling Strategies, and Analytic Methods
1st Edition
By Hongjie Liu
August 05, 2024
Association Models in Epidemiology: Study Designs, Modeling Strategies, and Analytic Methods is written by an epidemiologist for graduate students, researchers, and practitioners who will use regression techniques to analyze data. It focuses on association models rather than prediction models. The ...
Applied Microbiome Statistics: Correlation, Association, Interaction and Composition
1st Edition
By Yinglin Xia, Jun Sun
July 22, 2024
This unique book officially defines microbiome statistics as a specific new field of statistics and addresses the statistical analysis of correlation, association, interaction, and composition in microbiome research. It also defines the study of the microbiome as a hypothesis-driven ...
Causal Inference in Pharmaceutical Statistics
1st Edition
By Yixin Fang
June 24, 2024
Causal Inference in Pharmaceutical Statistics introduces the basic concepts and fundamental methods of causal inference relevant to pharmaceutical statistics. This book covers causal thinking for different types of commonly used study designs in the pharmaceutical industry, including but not ...
Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance
1st Edition
By Peihua Qiu
June 18, 2024
Disease screening and disease surveillance (DSDS) constitute two critical areas in public health, each presenting distinctive challenges primarily due to their sequential decision-making nature and complex data structures. Statistical Methods for Dynamic Disease Screening and Spatio-Temporal ...