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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. 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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    5. Faes, Christel & Molenberghs, Geert & Aerts, Marc & Verbeke, Geert & Kenward, Michael G., 2009. "The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method," The American Statistician, American Statistical Association, vol. 63(4), pages 389-399.
    6. Zeileis, Achim, 2004. "Econometric Computing with HC and HAC Covariance Matrix Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i10).
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