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.
Joint Models for Longitudinal and Time-to-Event Data: With Applications in R
1st Edition
By Dimitris Rizopoulos
January 21, 2023
In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint ...
Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools
1st Edition
By Marc Lavielle
January 21, 2023
Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects ModelsMixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools presents a rigorous framework for describing, implementing, and using mixed effects models. With these models, readers can ...
Multiple Testing Problems in Pharmaceutical Statistics
1st Edition
Edited
By Alex Dmitrienko, Ajit C. Tamhane, Frank Bretz
January 21, 2023
Useful Statistical Approaches for Addressing Multiplicity IssuesIncludes practical examples from recent trials Bringing together leading statisticians, scientists, and clinicians from the pharmaceutical industry, academia, and regulatory agencies, Multiple Testing Problems in Pharmaceutical ...
Statistical Methods for Drug Safety
1st Edition
By Robert D. Gibbons, Anup Amatya
January 21, 2023
Explore Important Tools for High-Quality Work in Pharmaceutical SafetyStatistical Methods for Drug Safety presents a wide variety of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for the analysis of ...
Statistics In the Pharmaceutical Industry
3rd Edition
Edited
By C. Ralph Buncher, Jia-Yeong Tsay
January 21, 2023
The growth of the pharmaceutical industry over the past decade is astounding, but the impact of this growth on statistics is somewhat confusing. While software has made analysis easier and more efficient, regulatory bodies now demand deeper and more complex analyses, and pharmacogenetic/genomic ...
Survival Analysis in Medicine and Genetics
1st Edition
By Jialiang Li, Shuangge Ma
January 21, 2023
Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields. The text mainly addresses special concerns of ...
Quantitative Methods for Precision Medicine: Pharmacogenomics in Action
1st Edition
By Rongling Wu
December 26, 2022
Modern medicine is undergoing a paradigm shift from a "one-size-fits-all" strategy to a more precise patient-customized therapy and medication plan. While the success of precision medicine relies on the level of pharmacogenomic knowledge, dissecting the genetic mechanisms of drug response in a ...
Case Studies in Bayesian Methods for Biopharmaceutical CMC
1st Edition
Edited
By Paul Faya, Tony Pourmohamad
December 15, 2022
The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (CMC) studies in the biopharmaceutical industry. The book has multiple authors from industry and academia, each contributing a case study (chapter). The collection of case studies covers a broad array of ...
Digital Therapeutics: Strategic, Scientific, Developmental, and Regulatory Aspects
1st Edition
Edited
By Oleksandr Sverdlov, Joris van Dam
December 06, 2022
One of the hallmarks of the 21st century medicine is the emergence of digital therapeutics (DTx)—evidence-based, clinically validated digital technologies to prevent, diagnose, treat, and manage various diseases and medical conditions. DTx solutions have been gaining interest from patients, ...
Model-Assisted Bayesian Designs for Dose Finding and Optimization: Methods and Applications
1st Edition
By Ying Yuan, Ruitao Lin, J. Jack Lee
November 11, 2022
Bayesian adaptive designs provide a critical approach to improve the efficiency and success of drug development that has been embraced by the US Food and Drug Administration (FDA). This is particularly important for early phase trials as they form the basis for the development and success of ...
Data Science, AI, and Machine Learning in Drug Development
1st Edition
Edited
By Harry Yang
October 03, 2022
The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse ...
Advanced Survival Models
1st Edition
By Catherine Legrand
September 26, 2022
Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in medical research. During the last twenty years, several extensions of "classical" survival models have been developed to address particular ...