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.
Fundamental Concepts for New Clinical Trialists
1st Edition
By Scott Evans, Naitee Ting
March 31, 2021
Fundamental Concepts for New Clinical Trialists describes the core scientific concepts of designing, data monitoring, analyzing, and reporting clinical trials as well as the practical aspects of trials not typically discussed in statistical methodology textbooks. The first section of the book ...
Analysis of Incidence Rates
1st Edition
By Peter Cummings
December 18, 2020
Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate ...
Analyzing Longitudinal Clinical Trial Data: A Practical Guide
1st Edition
By Craig Mallinckrodt, Ilya Lipkovich
December 18, 2020
Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest theory on analysis of longitudinal clinical trial data into routine practice.The book, with its example-oriented approach that includes numerous SAS and R code ...
Applied Biclustering Methods for Big and High-Dimensional Data Using R
1st Edition
Edited
By Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen
December 18, 2020
Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied Biclustering Methods ...
Applied Surrogate Endpoint Evaluation Methods with SAS and R
1st Edition
By Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der Elst
December 18, 2020
An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment’s efficacy. When a true endpoint is difficult to use because of such factors as long follow-up times or prohibitive cost, it is sometimes possible to use a surrogate ...
Bayesian Cost-Effectiveness Analysis of Medical Treatments
1st Edition
By Elias Moreno, Francisco Jose Vazquez-Polo, Miguel Angel Negrín-Hernández
December 18, 2020
Cost-effectiveness analysis is becoming an increasingly important tool for decision making in the health systems. Cost-Effectiveness of Medical Treatments formulates the cost-effectiveness analysis as a statistical decision problem, identifies the sources of uncertainty of the problem, and gives an...
Benefit-Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments
1st Edition
Edited
By Qi Jiang, Weili He
December 18, 2020
Guides You on the Development and Implementation of B–R EvaluationsBenefit–Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments provides general guidance and case studies to aid practitioners in selecting specific benefit–risk (B–R) frameworks ...
Biosimilar Clinical Development: Scientific Considerations and New Methodologies
1st Edition
Edited
By Kerry B. Barker, Sandeep M. Menon, Sr. D'Agostino, Siyan Xu, PhD Jin
December 18, 2020
Biosimilars have the potential to change the way we think about, identify, and manage health problems. They are already impacting both clinical research and patient care, and this impact will only grow as our understanding and technologies improve. Written by a team of experienced specialists in ...
Clinical Trial Data Analysis Using R and SAS
2nd Edition
By Ding-Geng (Din) Chen, Karl E. Peace, Pinggao Zhang
December 18, 2020
Review of the First Edition"The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall, this book achieves the goal successfully and does a nice job. I would highly recommend it …The ...
Data Analysis with Competing Risks and Intermediate States
1st Edition
By Ronald B. Geskus
December 18, 2020
Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results.After ...
Design & Analysis of Clinical Trials for Economic Evaluation & Reimbursement: An Applied Approach Using SAS & STATA
1st Edition
By Iftekhar Khan
December 18, 2020
Economic evaluation has become an essential component of clinical trial design to show that new treatments and technologies offer value to payers in various healthcare systems. Although many books exist that address the theoretical or practical aspects of cost-effectiveness analysis, this book ...
Design and Analysis of Clinical Trials for Predictive Medicine
1st Edition
Edited
By Shigeyuki Matsui, Marc Buyse, Richard Simon
December 18, 2020
Design and Analysis of Clinical Trials for Predictive Medicine provides statistical guidance on conducting clinical trials for predictive medicine. It covers statistical topics relevant to the main clinical research phases for developing molecular diagnostics and therapeutics—from identifying ...