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Analysis of Covariance: Its Nature and Uses
Abstract
This paper is intended as an introduction to the subsequent papers in this issue. It discusses the nature and principal uses of the analysis of covariance, and presents the standard methods and tests of significance. As Fisher [1934] has expressed it, the analysis of covariance combines the advantages and reconciles the requirements of the two very widely applicable procedures known as regression and analysis of variance. This dual role can be illustrated by a two-way classification in which rows represent treatments, and columns represent blocks or replications. The typical mathematical model appropriate to the analysis of covariance is
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Cited by
Statistical principles in experimental design.
Winer, B. J. (1962) · McGraw-Hill Book Company · doi:10.1037/11774-000 · Cited by 26,755
Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation
Rubin, D. B. (2001) · Health Services and Outcomes Research Methodology · doi:10.1023/a:1020363010465 · Cited by 2,228
Misunderstanding analysis of covariance.
Miller, G. A., & Chapman, J. P. (2001) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.110.1.40 · Cited by 2,136
Glass, G. V., Peckham, P. D., & Sanders, J. R. (1972) · Review of Educational Research · doi:10.3102/00346543042003237 · Cited by 1,826
Identification, Inference and Sensitivity Analysis for Causal Mediation Effects
Imai, K., Keele, L., & Yamamoto, T. (2010) · Statistical Science · doi:10.1214/10-sts321 · Cited by 1,628
Metadata
- Authors
- Cochran, W. G.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1957-09
- Volume
- 13
- Issue
- 3
- Pages
- 261
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2317782077
- Cited by
- 504
- References
- 0
- FWCI
- 6.32
- Type
- journal article
- Language
- en
- Open access
- closed
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