Literature DB >> 3368673

A note on sample size computation for testing interactions.

P A Lachenbruch1.   

Abstract

This paper discusses a simple method to compute sample sizes for testing interactions in analysis of variance. It uses orthogonal contrasts to determine the power. For the 2 X 2 table this gives a single degree of freedom contrast for consideration. For larger designs, one must consider a set of contrasts. The use of Bonferroni or Scheffé critical values is discussed. This method allows the user to compute easily a sample size without recourse to the non-central F distribution.

Mesh:

Year:  1988        PMID: 3368673     DOI: 10.1002/sim.4780070403

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  6 in total

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2.  Impact of misspecifying the distribution of a prognostic factor on power and sample size for testing treatment interactions in clinical trials.

Authors:  William M Reichmann; Michael P LaValley; David R Gagnon; Elena Losina
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Review 5.  The quality of subgroup analyses in chronic pain randomized controlled trials: a methodological review.

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Review 6.  Sex differences in cancer mechanisms.

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  6 in total

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