2 citations · 4 across the 6 of their papers we have counts for
6 papers
Prediction intervals for overdispersed multinomial data with application to historical controls
Sören Budig, Frank Schaarschmidt, Max Menssen
In pharmaceutical and toxicological research, historical control data are increasingly used to validate concurrent control groups, typically via the construction of historical cont…
Including historical control data in simultaneous inference for pre-clinical multi-arm studies
Max Menssen, Carsten Kneuer, Gyamfi Akyianu +3
In pre- and non-clinical toxicology, the reduction of animal use is highly desireable. Although approaches for possible sample size reduction in the concurrent control group were s…
A versatile trend test for the evaluation of tumor incidences in long-term carcinogenicity bioassays
Ludwig A. Hothorn, Atiar M. Rahman, Frank Schaarschmidt
For the evaluation of carcinogenicity bioassays a new trend test is proposed which is based on a maximum of arithmetic, ordinal, and logarithmic regression scores as well as the Wi…
Model-based simultaneous inference for multiple subgroups and multiple endpoints
Charlotte Vogel, Frank Schaarschmidt, Christian Ritz +2
Various methodological options exist on evaluating differences in both subgroups and the overall population. Most desirable is the simultaneous study of multiple endpoints in sever…
A Tukey type trend test for repeated carcinogenicity bioassays, motivated by multiple glyphosate studies
Ludwig A. Hothorn, Frank Schaarschmidt
In the last two decades, significant methodological progress to the simultaneous inference of simple and complex randomized designs, particularly proportions as endpoints, occurred…
A modified Armitage test for more than a linear trend on proportions
Ludwig A. Hothorn, Frank Schaarschmidt
The Armitage test for linear trend in proportions can be modified using the multiple marginal model approach for three regression models with arithmetic, ordinal and logarithmic do…