Gauss or Bernoulli? A Monte Carlo Comparison of the Performance of the Linear Mixed-Model and the Logistic Mixed-Model Analyses in Simulated Community Trials with a Dichotomous Outcome Variable at the Individual Level.

Hannan, Peter J.; Murray, David M.

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Peer reviewed

ERIC Number: EJ530207

Record Type: Journal

Publication Date: 1996

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ISSN: ISSN-0193-841X

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Gauss or Bernoulli? A Monte Carlo Comparison of the Performance of the Linear Mixed-Model and the Logistic Mixed-Model Analyses in Simulated Community Trials with a Dichotomous Outcome Variable at the Individual Level.

Hannan, Peter J.; Murray, David M.

Evaluation Review, v20 n3 p338-52 Jun 1996

A Monte Carlo study compared performance of linear and logistic mixed-model analyses of simulated community trials having specific event rates, intraclass correlations, and degrees of freedom. Results indicate that in studies with adequate denominator degrees of freedom, the researcher may use either method of analysis, with certain cautions. (SLD)

Descriptors: Community Health Services, Comparative Analysis, Data Analysis, Health Programs, Monte Carlo Methods, Program Evaluation, Simulation

Publication Type: Reports - Evaluative; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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