Two-Stage Stepwise Estimation Procedure
This article proposes a two-stage simultaneous confidence procedure for the comparisons of k pairs of population means, without using multiplicity adjustment of more than two populations. The proposed procedure can be broadly applied to parametric or nonparametric models. It is robust and versatile...
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Published in | Biometrics Vol. 64; no. 2; pp. 406 - 412 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Malden, USA
Blackwell Publishing Inc
01.06.2008
Blackwell Publishing Blackwell Publishing Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | This article proposes a two-stage simultaneous confidence procedure for the comparisons of k pairs of population means, without using multiplicity adjustment of more than two populations. The proposed procedure can be broadly applied to parametric or nonparametric models. It is robust and versatile because its derivation only utilizes a partitioning approach in conjunction with a bivariate adjustment, without any assumption on the underlying distribution. To elucidate the application, the proposed procedure is intertwined with the estimation of the therapeutic window of a drug. It provides confidence limits for the efficacy and the toxicity of the effective doses, highest ineffective dose, safe doses, and lowest unsafe dose, simultaneously. Such estimation information facilitates follow-up studies in clinical trials. As an illustrative example, the new procedure is applied to analyze a data set on molecular cancer therapeutics regarding the apoptotic killing effects of different chemical compounds on two leukemia cell lines. |
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Bibliography: | http://dx.doi.org/10.1111/j.1541-0420.2007.00902.x istex:55E7970FDD93B885DC0E7CCC0E0108D83BC1FD58 ark:/67375/WNG-3P82Q80W-T ArticleID:BIOM902 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0006-341X 1541-0420 |
DOI: | 10.1111/j.1541-0420.2007.00902.x |