Journal article
Missing data in two-way analysis of variance
American journal of physiology. Regulatory, integrative and comparative physiology, Vol.258(2), pp.R291-R297
02/01/1990
Handle:
https://hdl.handle.net/2376/114296
PMID: 2137989
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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Details
- Title
- Missing data in two-way analysis of variance
- Creators
- B. K Slinker - Department of Medicine, University of Vermont, Burlington 05405S. A Glantz - Department of Medicine, University of Vermont, Burlington 05405
- Publication Details
- American journal of physiology. Regulatory, integrative and comparative physiology, Vol.258(2), pp.R291-R297
- Academic Unit
- Integrative Physiology and Neuroscience, Department of
- Identifiers
- 99900548251301842
- Language
- English
- Resource Type
- Journal article