title: Partition testing in dose-response studies with multiple endpoints.
abstract: Dose-response studies with multiple endpoints can be formulated as closed testing or partition testing problems. When the endpoints are primary and secondary, whether the order in which the doses are to be tested is pre-determined or sample determined lead to different partitioning of the parameter space corresponding to the null hypotheses to be tested. We use the case of two doses and two endpoints to illustrate how to apply the partitioning principle to construct multiple tests that control the appropriate error rate. Graphical representation can be useful in visualizing the decision process.
authors.affiliation: Statistics, The Ohio State University, Columbus, OH 43210-1247, USA. yliu@stat.osu.edu
authors.forename: Yi
authors.initials: Y
authors.lastname: Liu
authors.forename: Jason
authors.initials: J
authors.lastname: Hsu
authors.forename: Stephen
authors.initials: S
authors.lastname: Ruberg
mesh_terms: D014150:Antipsychotic Agents / Q000008:administration & dosage; D002986:Clinical Trials as Topic / Q000379:methods*; D003627:Data Interpretation, Statistical; D004305:Dose-Response Relationship, Drug; D023381:Endpoint Determination / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D011336:Probability; D012107:Research Design; D016896:Treatment Outcome
chemical_list: D014150:Antipsychotic Agents