Southwest Oncology Group Statistical Center, Seattle, WA. Compendium of statistical approaches to the problems facing researchers. Focuses on cancer clinical trials, with a few contributions applying to observational studies. For statisticians working in cancer research and also oncologists. Expande
Handbook of Statistics in Clinical Oncology
โ Scribed by John Crowley, Antje Hoering
- Publisher
- Taylor & Francis, CRC Press
- Year
- 2012
- Tongue
- English
- Leaves
- 643
- Edition
- Third
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Cover
Title
Contents
Preface
Editors
Contributors
Chapter 1: Choosing a Phase I Design
Dose-Finding Designs Based on the Continual Reassessment Method
Chapter 3: Pharmacokinetics in Clinical Oncology
: Statistical Issues
Chapter 4: Statistics of Phase 0 Trials
Chapter 5: CRM Trials for Assessing Toxicity and Efficacy
Chapter 6: Seamless Phase I/II Trial Design for Assessing Toxicity and Efficacy for Targeted Agents
Chapter 7: Overview of Phase II Clinical Trials
Chapter 8: Designs Based on Toxicity and Response
Designs Using Time-to-Event Endpoints/Single-Arm versus Randomized Phase II Designs
Chapter 10: Phase II Selection Designs
Chapter 11: Phase II with Multiple Subgroups
: Designs Incorporating Disease Subtype or Genetic Heterogeneity
Chapter 12: Phase II/III Designs
Use of Covariates in Randomization and Analysis of Clinical Trials
Factorial Designs with Time-to-Event Endpoints
Chapter 15: Early Stopping of Clinical Trials
Chapter 16: Noninferiority Trials
Chapter 17: Phase III Trials for Targeted Agents
Chapter 18: Adaptive Trial Designs
Chapter 19: Design of a Clinical Trial for Testing the Ability of a Continuous Marker to Predict Therapy Benefit
Chapter 20: Software for Design and Analysis of Clinical Trials
Chapter 21: Cure-Rate Survival Models in Clinical Trials
Design and Analysis of Quality-of-Life Data
Chapter 23: Economic Analyses alongside Cancer Clinical Trials
Chapter 24: Structural and Molecular Imaging in Cancer Therapy Clinical Trials
Chapter 25: Prognostic Factor Studies
Chapter 26: Predictive Modeling of Gene Expression Data
Chapter 27: Explained Variation and Explained Randomness for Proportional Hazards Models
Prognostic Groups by Tree-Based Partitioning and Data Refinement Methods
Risk Calculators
Chapter 30: Developing a Score Based upon Gene Expression Profiling and Validation
Chapter 31: Analysis of DNA Microarrays
Chapter 32: Methods for SNP Regression Analysis in Clinical Studies
: Selection, Shrinkage, and Logic
Chapter 33: Forensic Bioinformatics
Back Cover
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