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Move Over ANOVA

Archives of General Psychiatry · 2004 · Vol. 61(3) · pp. 310–310
Ralitza GueorguievaJohn H. Krystal

Abstract

Repeated-measures ANOVAs continue to be used widely for the analysis of repeated-measures data, despite risks to interpretation. Mixed-effects models use all available data, can properly account for correlation between repeated measurements on the same subject, have greater flexibility to model time effects, and can handle missing data more appropriately. Their flexibility makes them the preferred choice for the analysis of repeated-measures data.

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical TrialsAdvanced Causal Inference TechniquesRepeated measures designFlexibility (engineering)Mixed modelUnivariateAnalysis of varianceMissing dataMultivariate analysisVariance (accounting)Multivariate statisticsRandom effects model

MeSH terms

Analysis of VarianceHumansPsychiatryResearch DesignModels, StatisticalEndpoint Determination
Citations
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Citations per year
References
SAS System for Mixed Models
Medical Entomology and Zoology · 1996 · 10,441 citations
Statistical Analysis With Missing Data
Journal of the American Statistical Association · 1989 · 17,494 citations
Random-Effects Models for Longitudinal Data
Biometrics · 1982 · 8,821 citations
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Move Over ANOVA · Scinovex