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A Dunnett-Type Procedure for Multiple Endpoints

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  • Hasler Mario
  • Hothorn Ludwig A

Abstract

This paper describes a method for comparisons of several treatments with a control, simultaneously for multiple endpoints. These endpoints are assumed to be normally distributed with different scales and variances. An approximate multivariate t-distribution is used to obtain quantiles for test decisions, multiplicity-adjusted p-values, and simultaneous confidence intervals. Simulation results show that this approach controls the family-wise error type I over both the comparisons and the endpoints in an admissible range. The approach will be applied to a randomized clinical trial comparing two new sets of extracorporeal circulations with a standard for three primary endpoints. A related R package is available.

Suggested Citation

  • Hasler Mario & Hothorn Ludwig A, 2011. "A Dunnett-Type Procedure for Multiple Endpoints," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-15, January.
    • Handle: RePEc:bpj:ijbist:v:7:y:2011:i:1:n:3
    DOI: 10.2202/1557-4679.1258
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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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