Pub. Date:
Taylor & Francis
Handbook of Statistics in Clinical Oncology

Handbook of Statistics in Clinical Oncology

by John Crowley, Antje Hoering


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This reference for those who design and analyze clinical trials describes current statistical approaches to problems facing cancer researchers. Thirty-three contributions from international specialists discuss such topics as the analysis of quality of life data; the spatial modeling of multi-locus data; and the estimation of cumulative incidence in the presence of competing risks. The second edition reflects recent developments in genomic and proteomic research, and contains a new section on analyses of high-throughput data and bioinformatics. Crowley is Director of the Southwest Oncology Group Statistical Center in Seattle, and Ankerst is a research scientist at the U. of Munich. Annotation © 2006 Book News, Inc., Portland, OR

Product Details

ISBN-13: 9780824790257
Publisher: Taylor & Francis
Publication date: 04/28/2001
Edition description: Older Edition
Pages: 566
Product dimensions: 6.00(w) x 9.00(h) x 1.19(d)

Table of Contents

Phase ITrials
1.Overview of Phase I Trials1
2.Dose-Finding Designs Using Continual Reassessment Method35
3.Choosing a Phase I Design73
Phase IITrials
4.Overview of Phase II Clinical Trials93
5.Designs Based on Toxicity and Response105
6.Phase II Selection Designs119
Phase IIITrials
7.Power and Sample Size for Phase III Clinical Trials of Survival129
8.Multiple Treatment Trials149
9.Factorial Designs with Time-to-Event End Points161
10.Therapeutic Equivalence Trials173
11.Early Stopping of Cancer Clinical Trials189
12.Use of the Triangular Test in Sequential Clinical Trials211
Complementary Outcomes
13.Design and Analysis Considerations for Complementary Outcomes229
14.Health-Related Quality-of-Life Outcomes249
15.Statistical Analysis of Quality of Life269
16.Economic Analysis of Cancer Clinical Trials291
Prognostic Factors and Exploratory Analysis
17.Prognostic Factor Studies321
18.Statistical Methods to Identify Prognostic Factors379
19.Explained Variation in Proportional Hazards Regression397
20.Graphical Methods for Evaluating Covariate Effects in the Cox Model411
21.Graphical Approaches to Exploring the Effects of Prognostic Factors on Survival433
22.Tree-Based Methods for Prognostic Stratification457
Interpreting Clinical Trials
23.Problems in Interpreting Clinical Trials473
24.Commonly Misused Approaches in the Analysis of Cancer Clinical Trials491
25.Dose-Intensity Analysis503
26.Why Kaplan-Meier Fails and Cumulative Incidence Succeeds When Estimating Failure Probabilities in the Presence of Competing Risks513

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