title: Missing data in two-way analysis of variance.
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.
authors: Department of Medicine, University of Vermont, Burlington 05405.
authors: B K
authors: BK
authors: Slinker
authors: S A
authors: SA
authors: Glantz
mesh_terms: D000251:Adenosine Triphosphatases / Q000378:metabolism; D000704:Analysis of Variance; D000818:Animals; D007668:Kidney / Q000201:enzymology; D051381:Rats; D012044:Regression Analysis; D012107:Research Design
chemical_list: D000251:Adenosine Triphosphatases