Recent Advances in Clinical Trial Design and Analysis

1. Front Matter

   Pages i-x

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2. The alpha spending function approach to interim data analyses

   • David L. DeMets, Gordon Lan

   Pages 1-27

3. Issues in the design and analysis of AIDS clinical trials

   • Dennis O. Dixon, Jeffrey M. Albert

   Pages 29-47

4. Recent developments in the design of phase II clinical trials

   • Peter F. Thall, Richard M. Simon

   Pages 49-71

5. Multivariate failure time data

   • D. Y. Lin

   Pages 73-93

6. Goodness-of-fit and diagnostics for proportional hazards regression models

   • Patricia M. Grambsch

   Pages 95-112

7. A review of tree-based prognostic models

   • Michael LeBlanc, John Crowley

   Pages 113-124

8. Decision analysis and Bayesian methods in clinical trials

   • Donald A. Berry

   Pages 125-154

9. A Bayesian model for evaluating specificity of treatment effects in clinical trials

   • Richard M. Simon, Dennis O. Dixon, Boris Freidlin

   Pages 155-175

10. The exact analysis of contingency tables in medical research

    • Cyrus R. Mehta

    Pages 177-202

11. Stratified-adjusted versus unstratified assessment of sample size and power for analyses of proportions

    • John M. Lachin, Oliver M. Bautista

    Pages 203-223

12. Quality-of-life assessment in clinical trials

    • Richard D. Gelber, Shari Gelber

    Pages 225-246

13. Back Matter

    Pages 247-258

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Clinical trials have two purposes -- to treat the patients in the trial, and to obtain information which increases our understanding of the disease and especially how patients respond to treatment. Statistical design provides a means to achieve both these aims, while statistical data analysis provides methods for extracting useful information from the trial data.
Recent advances in statistical computing have enabled statisticians to implement very rapidly a broad array of methods which previously were either impractical or impossible. Biostatisticians are now able to provide much greater support to medical researchers working in both clinical and laboratory settings. As our collective toolkit of techniques for analyzing data has grown, it has become increasingly difficult for biostatisticians to keep up with all the developments in our own field. Recent Advances in Clinical Trial Design and Analysis brings together biostatisticians doing cutting-edge research and explains some of the more recent developments in biostatistics to clinicians and scientists who work in clinical trials.

• AIDS
• Anästhesie-Informations-Management-System
• data analysis
• diagnostics
• statistics

` ... I would recommend the book to biostatisticians who want to stay up-to-date on recent developments in the design and analysis of clinical trials.'
Annals of Oncology, 7 (1996)
` ... I can certainly recommend it as a very useful addition to a multidisciplinary library. Many of the topics coverd are yet to reach standard textbooks; their accumulation under one title is a valuable contributions.'
Clinical Oncology, 9:4 (1997)

• Department of Biomathematics, The University of Texas M.D. Anderson Cancer Center, Houston, USA

  Peter F. Thall

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