Handbook of Statistics in Clinical Oncology

✍ Scribed by John Crowley (ed.)

• Publisher: Marcel Dekker
• Year: 2001
• Tongue: English
• Leaves: 563
• Category: Library

✦ Synopsis

This book compiles state-of-the-art statistical approaches to solving problems in clinical oncology, focusing on clinical trials in phases I, II, and III, as well as quality of life and economic analyses, and exploratory methods. Examines trial design treatment based on toxicity and survival! Featuring over 1000 references, more than 40 world-renowned contributors, and 300 equations, tables, and drawings, the Handbook of Statistics in Clinical Oncology provides a comprehensive discussion of sample size considers analytical problems generated by controlling treatment costs and maintaining quality of life demonstrates the breadth and depth of current activity in the field of survival analysis sets the limits on what can and cannot be concluded from single and multiple clinical trials and more! The best single source for up-to-date graphical, tree-based, and other statistical methods, the Handbook of Statistics in Clinical Oncology is fascinating reading for oncologists, cancer researchers, biostatisticians, applied statisticians, and medical and graduate students in these disciplines.

✦ Table of Contents

Cover......Page 1
Copyright......Page 3
Preface......Page 6
Contents......Page 8
Contributors......Page 12
1 Overview of Phase I Trials......Page 16
2 Dose-Finding Designs Using Continual Reassessment Method......Page 50
3 Choosing a Phase I Design......Page 88
4 Overview of Phase II Clinical Trials......Page 108
5 Designs Based on Toxicity and Response......Page 120
6 Phase II Selection Designs......Page 134
7 Power and Sample Size for Phase III Clinical Trials of Survival......Page 144
8 Multiple Treatment......Page 164
9 Factorial Designs with Time-to-Event End Points......Page 176
10 Therapeutic Equivalence Trials......Page 188
11 Early Stopping of Cancer Clinical Trials......Page 204
12 Use of the Triangular Test in Sequential Clinical Trials......Page 226
13 Design and Analysis Considerations for Complementary Outcomes......Page 244
14 Health-Related Quality-of-Life Outcomes......Page 264
15 Statistical Analysis of Quality of Life......Page 284
16 Economic Analysis of Cancer Clinical Trials......Page 306
17 Prognostic Factor Studies......Page 336
18 Statistical Methods to Identify Prognostic Factors......Page 394
19 Explained Variation in Proportional Hazards Regression......Page 412
20 Graphical Methods for Evaluating Covariate Effects in the Cox Model......Page 426
21 Graphical Approaches to Exploring the Effects of Prognostic Factors on Survival......Page 448
22 Tree-Based Methods for Prognostic Stratification......Page 472
23 Problems in Interpreting Clinical Trials......Page 488
24 Commonly Misused Approaches in the Analysis of Cancer Clinical Trials......Page 506
25 Dose-Intensity Analysis......Page 518
26 Why Kaplan-Meier Fails and Cumulative Incidence Succeeds When Estimating Failure Probabilities in the Presence of Competing Risks......Page 528
27 Meta-Analysis......Page 540
545Index......Page 560