Abstract

Multiple comparison procedures and modeling (MCP-Mod) is a method for dose–response testing and dose–response estimation under model uncertainty. The dose–response modeling is based on a set of candidate dose–response shapes that is predefined at the design stage of the trial. The methodology consists of two main steps. The first step is a statistical test for a dose–response signal, assessing whether there is any effect of the test doses over placebo (the MCP step). This is performed by utilizing a multiple contrast test procedure, where each of the candidate shape is represented by a contrast. In the second step, the dose–response curve is estimated based on model selection or model averaging techniques, utilizing the predefined candidate dose–response models.