3 papers
stat.ME2019
Multivariate analysis of covariance when standard assumptions are violated
Georg Zimmermann, Markus Pauly, Arne C. Bathke
In applied research, it is often sensible to account for one or several covariates when testing for differences between multivariate means of several groups. However, the "classica…
stat.ME2018
Sample size calculation and blinded recalculation for analysis of covariance models with multiple random covariates
Georg Zimmermann, Meinhard Kieser, Arne Bathke
When testing for superiority in a parallel-group setting with a continuous outcome, adjusting for covariates (e.g., baseline measurements) is usually recommended, in order to reduc…
stat.ME2017
Small-sample performance and underlying assumptions of a bootstrap-based inference method for a general analysis of covariance model with possibly heteroskedastic and nonnormal errors
Georg Zimmermann, Markus Pauly, Arne C. Bathke
It is well known that the standard F test is severely affected by heteroskedasticity in unbalanced analysis of covariance (ANCOVA) models. Currently available potential remedies fo…