Sin-Ho Jung

Cluster Randomization Trials

Statistical Design and Analysis

• Gebundenes Buch

Produktbeschreibung

This books covers all three types of trials resulting in clustered data. For outcome variables of binary, continuous, and time to event types. The methods are discussed in terms of clinical trials, but can be used to design and analyze any types of experiments involving clustered data.

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Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 308
• Erscheinungstermin: 20. Dezember 2024
• Englisch
• Abmessung: 234mm x 156mm
• Gewicht: 740g
• ISBN-13: 9781032110806
• ISBN-10: 1032110805
• Artikelnr.: 70944018

Autorenporträt

Sin Ho-Jung is a Professor in the Department of Biostatistics and Bioinformatics at Duke University.

Inhaltsangabe

Preface 1. Introduction 2. One-Sample Binary Data 3. Chi-Square Test for
2-Sample Clustered Binary Data (I): Donner's Adjustment 4. Chi-Square Test
for 2-Sample Clustered Binary Data (II): GEE Adjustment 5. Subunit
Randomization Trials: GEE-Type Test for 2-Sample Clustered Binary Data 6.
Random Number Generation of Clustered Binary Data 7. "Tests for R×C
Contingency Tables with Clustered Categorical Data" 8. Clustered Continuous
Data 9. Inference of Medians for Paired Survival Data 10. "Rank Tests for
Matched Survival Data and Sample Size Calculation" 11. "Rank Tests for
Clustered Survival Data and Sample Size Calculation under Cluster
Randomization" 12. "Rank Tests for Clustered Survival Data and Sample Size
Calculation under Subunit Randomization" 13. "Group Sequential Testing for
Cluster Randomized Trials with Time-to-Event Endpoint" 14. "Random Number
Generation of Clustered Survival Data" 15. Cox's Regression for Clustered
Survival Data 16. Design and Analysis of Individually Randomized
Group-Treatment Trials 17. "Analysis of Medical Tests I: Comparison of
Concordance Rates with Clustered Data" 18. Comparison of Binary Medical
Tests and ROC Curves with Clustered Data