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Chapman & Hall/CRC Biostatistics Series


About the Series

The primary objectives of the Chapman & Hall/CRC Biostatistics 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 area 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.

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Mixture Modelling for Medical and Health Sciences

Mixture Modelling for Medical and Health Sciences

Forthcoming

Shu-Kay Ng, Liming Xiang, Kelvin Kai Wing Yau
November 30, 2018

Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical...

Clinical Trial Simulations using R

Clinical Trial Simulations using R

Forthcoming

Seth Berry, Russell Reeve
November 30, 2018

Health Economic Evaluation for Cancer Trials Using Clinical Trial Data

Health Economic Evaluation for Cancer Trials Using Clinical Trial Data

Forthcoming

Iftekhar Khan, Zahid Bashir, Ralph Crott
September 01, 2018

This is the first book on the design and analysis of not only clinical trials but also how observational non-interventional data using clinical data is applied to economic evaluation and re-imbursement in the context of Cancer. The authors assume the reader has no knowledge of economic evaluation...

Medical Product Safety Evaluation: Biological Models and Statistical Methods

Medical Product Safety Evaluation: Biological Models and Statistical Methods

Forthcoming

Jie Chen, Joseph Heyse, Tze Leung Lai
July 09, 2018

Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in...

Statistical Approaches in Oncology Clinical Development

Statistical Approaches in Oncology Clinical Development

Forthcoming

Satrajiit Roychoudhury, Soumi Lahiri
July 01, 2018

Statistical Challenges in Oncology Clinical Development presents an overview of statistical considerations in oncology clinical trials, including both early and late phase of development. It illustrates how the novel statistical methods can enrich the design and analysis of modern oncology trials....

Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects

Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects

Forthcoming

Oleksandr Sverdlov
July 01, 2018

Is adaptive randomization always better than traditional fixed-schedule randomization? Which procedures should be used and under which circumstances? What special considerations are required for adaptive randomized trials? What kind of statistical inference should be used to achieve valid and...

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R

Forthcoming

Jianrong Wu
June 20, 2018

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R provides a thorough presentation of the principles of designing and monitoring cancer clinical trials in which time-to-event is the primary endpoint. Traditional cancer trial designs with...

Bayesian Methods for Repeated Measures

Bayesian Methods for Repeated Measures

Lyle D. Broemeling
June 01, 2018

Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many inferential methods for...

Self-Controlled Case Series Studies: A Modelling Guide with R

Self-Controlled Case Series Studies: A Modelling Guide with R

Paddy Farrington, Heather Whitaker, Yonas Ghebremichael Weldeselassie
May 02, 2018

Self-Controlled Case Series Studies: A Modelling Guide with R provides the first comprehensive account of the self-controlled case series (SCCS) method, a statistical technique for investigating associations between outcome events and time-varying exposures. The method only requires information...

Applied Surrogate Endpoint Evaluation Methods with SAS and R

Applied Surrogate Endpoint Evaluation Methods with SAS and R

Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der Elst
December 13, 2017

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...

Medical Biostatistics, Fourth Edition

Medical Biostatistics, Fourth Edition

Abhaya Indrayan, Rajeev Kumar Malhotra
December 06, 2017

Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill...

Statistical Topics in Health Economics and Outcomes Research

Statistical Topics in Health Economics and Outcomes Research

Demissie Alemayehu, PhD, Joseph C. Cappelleri, PhD, Birol Emir, PhD, Kelly H. Zou, PhD, Pstat
November 28, 2017

With ever-rising healthcare costs, evidence generation through Health Economics and Outcomes Research (HEOR) plays an increasingly important role in decision-making about the allocation of resources. Accordingly, it is now customary for health technology assessment and reimbursement agencies to...

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