1994 ClusterRandomizationTrialsinEpi

• (Donner & Klar, 1994) ⇒ Allan Donner, and Neil Klar. (1994). “Cluster Randomization Trials in Epidemiology: Theory and Application.” Elsevier. doi:10.1016/0378-3758(94)90188-0

Subject Headings: Cluster Randomized Experiment, Intraclass Correlation.

Cited By

• http://scholar.google.com/scholar?q=%22Cluster+randomization+trials+in+epidemiology%3A+theory+and+application%22+1994

Quotes

Author Keywords

• Cluster randomization; intraclass correlation; correlated binary data

Abstract

It is becoming increasingly common for epidemiologists to consider randomizing intact clusters (e.g. families, schools, communities) rather than individuals in experimental trials. Reasons are diverse, but include administrative convenience, a desire to reduce the effect of treatment contamination and the need to avoid ethical issues which might otherwise arise. Dependencies among cluster members typical of such designs must be considered when determining sample size and analyzing the resulting data. Well-known methods such as generalized least squares can be used to analyze continuous outcome data, while methods for the analysis of binary outcome data and correlated failure time data are in the development stage. The purpose of this paper is to review methods used in the design and analysis of cluster randomization trials applied in health sciences research.

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References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1994 ClusterRandomizationTrialsinEpi	Allan Donner Neil Klar			Cluster Randomization Trials in Epidemiology: Theory and Application				10.1016/0378-3758(94)90188-0		1994