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Multiple Contrasts for Repeated Measures

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  • Hasler Mario

    (Christian-Albrechts-University, Kiel, Germany)

Abstract

This article addresses the problem of multiple contrast tests for repeated measures. Three procedures are described and compared by simulations concerning the familywise error type I. The procedure based on sandwich estimators seems to be most robust, except for all-pair comparisons.

Suggested Citation

  • Hasler Mario, 2013. "Multiple Contrasts for Repeated Measures," The International Journal of Biostatistics, De Gruyter, vol. 9(1), pages 49-61, July.
    • Handle: RePEc:bpj:ijbist:v:9:y:2013:i:1:p:13:n:3
    DOI: 10.1515/ijb-2012-0025
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    References listed on IDEAS

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    1. Noguchi, Kimihiro & Gel, Yulia R. & Brunner, Edgar & Konietschke, Frank, 2012. "nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(i12).
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    6. Bretz, Frank, 2006. "An extension of the Williams trend test to general unbalanced linear models," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1735-1748, April.
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