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

Evaluation Review

Volumn 20, Issue 3, 1996, Pages 338-352

  Hannan, Peter J ^a,b   Murray, David M ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; BINOMIAL DISTRIBUTION; COMMUNITY CARE; COMPARATIVE STUDY; EPIDEMIOLOGY; HEALTH CARE QUALITY; HUMAN; METHODOLOGY; MONTE CARLO METHOD; NORMAL DISTRIBUTION; REPRODUCIBILITY; STANDARD; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ANALYSIS OF VARIANCE; BIAS (EPIDEMIOLOGY); BINOMIAL DISTRIBUTION; COMMUNITY HEALTH SERVICES; DATA INTERPRETATION, STATISTICAL; HUMANS; LINEAR MODELS; LOGISTIC MODELS; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PROGRAM EVALUATION; REPRODUCIBILITY OF RESULTS;

EID: 0030153735     PISSN: 0193841X     EISSN: None     Source Type: Journal    
DOI: 10.1177/0193841X9602000306     Document Type: Review

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