Details
| Original language | English |
|---|---|
| Article number | 3 |
| Journal | International Journal of Biostatistics |
| Volume | 7 |
| Issue number | 1 |
| Publication status | Published - 6 Jan 2011 |
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.
Keywords
- family-wise error, many-to-one comparison, multiple endpoints, multivariate <em>t</ em>-distribution
ASJC Scopus subject areas
- Mathematics(all)
- Statistics and Probability
- Decision Sciences(all)
- Statistics, Probability and Uncertainty
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In: International Journal of Biostatistics, Vol. 7, No. 1, 3, 06.01.2011.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A dunnett-type procedure for multiple endpoints
AU - Hasler, Mario
AU - Hothorn, Ludwig A.
PY - 2011/1/6
Y1 - 2011/1/6
N2 - 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.
AB - 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.
KW - family-wise error
KW - many-to-one comparison
KW - multiple endpoints
KW - multivariate <em>t</ em>-distribution
UR - http://www.scopus.com/inward/record.url?scp=79951498069&partnerID=8YFLogxK
U2 - 10.2202/1557-4679.1258
DO - 10.2202/1557-4679.1258
M3 - Article
AN - SCOPUS:79951498069
VL - 7
JO - International Journal of Biostatistics
JF - International Journal of Biostatistics
SN - 1557-4679
IS - 1
M1 - 3
ER -