Step-down trend tests for identifying the minimum effective dose

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This paper introduces step-down procedures SD2B and SD2W that outperform the SD2L method for identifying the minimum effective dose by using Bartholomew's test or Welch's test instead of a linear trend test.

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Abstract

Many authors, most recently Tamhane, Hochberg, and Dunnett (18), have studied the problem of determining the minimum effective dose in dose-response studies. Based on past research and on findings from their own extensive simulation study, which covered a wide range of balanced normal homoscedastic situations, Tamhane et al. recommended a procedure they called SD2L, since it exhibited good performance in almost all the situations they studied. This method is a step-down procedure with a simple linear contrast-based trend test at each step. In this paper, we demonstrate that replacing the linear contrast trend test by Bartholomew's test leads to a procedure, SD2B, that consistently outperforms SD2L. In addition to the balanced normal homoscedastic framework, the finite sample performance of these procedures is also explored under unbalanced and/or heteroscedastic conditions. A third procedure, SD2W, which replaces the linear contrast test by Welch's test, offers some improvement over SD2B in a few heteroscedastic situations. In many cases, the increase in efficiency of SD2B and SD2W over SD2L exceeds 10%.

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Condition tags

endometriosis

MeSH descriptors

Biopharmaceutics Data Interpretation, Statistical Dose-Response Relationship, Drug Animals Biopharmaceutics Computer Simulation Endometriosis Endometriosis Female Linear Models Rabbits Random Allocation Research Design

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europepmc
last seen: 2026-08-30T09:23:35.175841+00:00
pubmed
last seen: 2026-05-13T22:10:40.754221+00:00
unpaywall
last seen: 2026-05-14T19:30:52.867331+00:00
License: public-domain-us · commercial use OK · attribution required
Courtesy of the U.S. National Library of Medicine