TY - UNPB

T1 - Robust multiple comparisons against a control group with application in toxicology

AU - Hothorn, Ludwig A.

AU - Kluxen, Felix M.

PY - 2019/5/6

Y1 - 2019/5/6

N2 - The Dunnett procedure compares several treatment or dose groups with a control group, while controlling the familywise error rate. When deviations from the normal distribution and heterogeneous variances occur, the nominal \(\alpha\) level may be violated, and power may be reduced. Various robust modifications are discussed, whereby the novel most likely transformation (MLT)-Dunnett version is recommended as almost always appropriate by means of a simulation study. The MLT-Dunnett is especially useful because it can jointly and comparably analyse differently scaled endpoints. Furthermore, a related multiple endpoints test is proposed using the odds ratio as a common effect size. With the statistical software R, the method is readily applicable using the CRAN libraries \verb|multcomp| and \verb|mlt|, real data can be easily analyzed.

AB - The Dunnett procedure compares several treatment or dose groups with a control group, while controlling the familywise error rate. When deviations from the normal distribution and heterogeneous variances occur, the nominal \(\alpha\) level may be violated, and power may be reduced. Various robust modifications are discussed, whereby the novel most likely transformation (MLT)-Dunnett version is recommended as almost always appropriate by means of a simulation study. The MLT-Dunnett is especially useful because it can jointly and comparably analyse differently scaled endpoints. Furthermore, a related multiple endpoints test is proposed using the odds ratio as a common effect size. With the statistical software R, the method is readily applicable using the CRAN libraries \verb|multcomp| and \verb|mlt|, real data can be easily analyzed.

KW - stat.AP

M3 - Preprint

BT - Robust multiple comparisons against a control group with application in toxicology

ER -