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.
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 ...
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 ...
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 ...
Statistical Design, Monitoring, and Analysis of Clinical Trials: Principles and Methods
2nd Edition
By Weichung Joe Shih, Joseph Aisner
October 26, 2021
Statistical Design, Monitoring, and Analysis of Clinical Trials, Second Edition concentrates on the biostatistics component of clinical trials. This new edition is updated throughout and includes five new chapters. Developed from the authors’ courses taught to public health and medical students, ...
Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies
1st Edition
By Harry Yang, Steven Novick
September 30, 2021
Drug development is an iterative process. The recent publications of regulatory guidelines further entail a lifecycle approach. Blending data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake of Bayesian ...
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 ...