Chapman & Hall/CRC Biostatistics Series

New and Published Books

21-30 of 59 results in Chapman & Hall/CRC Biostatistics Series

21. Clinical Trial Data Analysis Using R

    By Din Chen, Karl E. Peace

    Series: Chapman & Hall/CRC Biostatistics Series

    Too often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and...

    Published December 13th 2010 by CRC Press
22. Adaptive Design Methods in Clinical Trials

    By Shein-Chung Chow, Mark Chang

    Series: Chapman & Hall/CRC Biostatistics Series

    Although adaptive design methods are flexible and useful in clinical research, little or no regulatory guidelines are available. One of the first books on the topic, Adaptive Design Methods in Clinical Trials presents the principles and methodologies in adaptive design and analysis that pertain to...

    Published December 11th 2010 by Chapman and Hall/CRC
23. Monte Carlo Simulation for the Pharmaceutical Industry

    Concepts, Algorithms, and Case Studies

    By Mark Chang

    Series: Chapman & Hall/CRC Biostatistics Series

    Helping you become a creative, logical thinker and skillful "simulator," Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies provides broad coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to...

    Published September 28th 2010 by CRC Press
24. Bayesian Modeling in Bioinformatics

    Edited by Dipak K. Dey, Samiran Ghosh, Bani K. Mallick

    Series: Chapman & Hall/CRC Biostatistics Series

    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...

    Published September 2nd 2010 by Chapman and Hall/CRC
25. Frailty Models in Survival Analysis

    By Andreas Wienke

    Series: Chapman & Hall/CRC Biostatistics Series

    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....

    Published July 25th 2010 by Chapman and Hall/CRC
26. Clinical Trial Methodology

    By Karl E. Peace, Ding-Geng (Din) Chen

    Series: Chapman & Hall/CRC Biostatistics Series

    Now viewed as its own scientific discipline, clinical trial methodology encompasses the methods required for the protection of participants in a clinical trial and the methods necessary to provide a valid inference about the objective of the trial. Drawing from the authors’ courses on the subject...

    Published July 19th 2010 by Chapman and Hall/CRC
27. Bayesian Adaptive Methods for Clinical Trials

    By Scott M. Berry, Bradley P. Carlin, J. Jack Lee, Peter Muller

    Series: Chapman & Hall/CRC Biostatistics Series

    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...

    Published July 18th 2010 by CRC Press
28. Multiple Testing Problems in Pharmaceutical Statistics

    Edited by Alex Dmitrienko, Ajit C. Tamhane, Frank Bretz

    Series: Chapman & Hall/CRC Biostatistics Series

    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...

    Published December 7th 2009 by Chapman and Hall/CRC
29. Bayesian Missing Data Problems

    EM, Data Augmentation and Noniterative Computation

    By Ming T. Tan, Guo-Liang Tian, Kai Wang Ng

    Series: Chapman & Hall/CRC Biostatistics Series

    Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995....

    Published August 25th 2009 by Chapman and Hall/CRC
30. Design and Analysis of Clinical Trials with Time-to-Event Endpoints

    Edited by Karl E. Peace

    Series: Chapman & Hall/CRC Biostatistics Series

    Using time-to-event analysis methodology requires careful definition of the event, censored observation, provision of adequate follow-up, number of events, and independence or "noninformativeness" of the censoring mechanisms relative to the event. Design and Analysis of Clinical Trials with...

    Published April 22nd 2009 by Chapman and Hall/CRC