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PubMed · 2137989

Missing data in two-way analysis of variance.

B K Slinker·S A Glantz
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Abstract

We previously described a regression approach to analysis of variance computations that permitted analysis of unbalanced designs and experiments with missing data in two-way (or higher) analyses of variance Am. J. Physiol. 255 (Regulatory Integrative Comp. Physiol. 24): R353-R367, 1988. That approach can only be used correctly under a set of narrow, and relatively uninteresting, circumstances. In fact, in the example we worked, we extended that approach beyond its intended scope and incorrectly computed F statistics for testing hypotheses about the main effects of strain of rat and nephron site in a study of renal Na(+)-K(+)-adenosinetriphosphatase. This paper presents the correct approach, which can be generalized to most situations likely to be encountered when two-way, or higher, analyses of variance are used.

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Adenosine TriphosphatasesAnalysis of VarianceAnimalsKidneyRatsRegression AnalysisResearch DesignJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.

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B K Slinker, S A Glantz. 1990. Missing data in two-way analysis of variance.. https://doi.org/10.1152/ajpregu.1990.258.2.r291

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