This text provides the most comprehensive treatment of the design and analytic issues involved in group-randomized trials. GRTs are comparative studies conducted to evaluate the effect of a health promotion intervention in which the units of assignment are identifiable groups (e.g., schools, worksites) and the units of observation are members of those groups (e.g., students, workers). The book reviews the underlying issues, the most widely used research designs, and analytic strategies. There is an emphasis on mixed-model regression, with two chapters illustrating the analytic methods in SAS PROC MIXED and GLIMMIX. There is also a detailed chapter on power analysis and sample size calculation.
1. Introduction 2. Planning the Trials 3. Research Design 4. Planning the Analysis 5. Analysis for Nested Cross-Sectional Designs 6. Analysis for Nested-Cohort Designs 7. Applications of Analyses for Nested Cross-Sectional Designs 8. Applications of Analyses for Nested-Cohort Designs 9. Sample Size, Detectable Difference and Power 10. Case Studies
David M. Murray has spent his career evaluating intervention programs designed to improve the public health. Beginning in the late 1980s, Dr. Murray focused on the design and analysis of group-randomized trials in which groups are randomized to conditions and members of those groups are observed to assess the effect of an intervention. He has worked on many of these trials, collaborating with colleagues around the country. He has also conducted research to develop and test new methods for their design and analysis. Dr. Murray served as the first Chair of the Community-Level Heath Promotion study section, which reviews many of the group-randomized trials submitted to NIH. After 35 years at the University of Minnesota, the University of Memphis, and the Ohio State University, Dr. Murray joined the NIH in September 2012, as the Associate Director for Prevention and Director of the Office of l3/