1. Sample size determination for independent outcomes -- 2. Sample size determination for clustered outcomes -- 3. Sample size determination for repeated measurement outcomes using summary statistics -- 4. Sample size determination for correlated outcome measurements using GEE -- 5. Sample size determination for correlated outcomes from two-level randomized clinical trials -- 6. Sample size determination for correlated outcomes from three-level randomized clinical trials
Summary
Accurate sample size calculation ensures that clinical studies have adequate power to detect clinically meaningful effects. This results in the efficient use of resources and avoids exposing a disproportionate number of patients to experimental treatments caused by an overpowered study. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research explains how to determine sample size for studies with correlated outcomes, which are widely implemented in medical, epidemiological, and behavioral studies. The book focuses on issues specific to the two types of correlated ou
Bibliography
Includes bibliographical references
Notes
Online resource; title from PDF title page (EBSCO, viewed December 6, 2014)