Recent Advances in Clinical Trial Design and Analysis

Peter F. Thall

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English

Springer-Verlag New York Inc.
05 October 2012

Clinical trials; Epidemiology & medical statistics

Series: Cancer Treatment and Research

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.

Edited by: Peter F. Thall
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: Softcover reprint of the original 1st ed. 1995
Volume: 75
Dimensions: Height: 235mm, Width: 155mm, Spine: 14mm
Weight: 454g
ISBN: 9781461358305
ISBN 10: 1461358302
Series: Cancer Treatment and Research
Pages: 258
Publication Date: 05 October 2012
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Paperback
Publisher's Status: Active

1. The alpha spending function approach to interim data analyses.- 2. Issues in the design and analysis of AIDS clinical trials.- 3. Recent developments in the design of phase II clinical trials.- 4. Multivariate failure time data.- 5. Goodness-of-fit and diagnostics for proportional hazards regression models.- 6. A review of tree-based prognostic models.- 7. Decision analysis and Bayesian methods in clinical trials.- 8. A Bayesian model for evaluating specificity of treatment effects in clinical trials.- 9. The exact analysis of contingency tables in medical research.- 10. Stratified-adjusted versus unstratified assessment of sample size and power for analyses of proportions.- 11. Quality-of-life assessment in clinical trials.

Reviews for Recent Advances in Clinical Trial Design and Analysis

' ... 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)