  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.
