Volume 1, Issue s1 p. S60-S64

Quantitative Analytical Methods in Translation Research

First published: 20 August 2004
Citations: 4
Address correspondence to Jeffrey D. Dawson, Department of Biostatistics, C-22 GH, University of Iowa College of Public Health, Iowa City, IA 52242; [email protected]

Jeffrey D. Dawson, Department of Biostatistics, C-22 GH, University of Iowa College of Public Health.

This work was presented at the U.S. Invitational Conference “Advancing Quality Care Through Translation Research,” October 13–14, 2003, at the University of Iowa, Iowa City, Iowa.

ABSTRACT

In research involving quality of health care, an intervention is often attempted at one or more institutions. This article presents the advantages and disadvantages of various study designs that might be considered for such institution-based research, looking at the issues of comparison groups, replication, blocking, and contamination. Three examples illustrate the importance of accommodating the lack of independence or clustering that occurs among subjects within an institution, and show how these accommodations for clustering can sometimes be made by applying basic statistical techniques to institution-level outcomes, whereas at other times more sophisticated approaches are necessary.