title: The likelihood as statistical evidence in multiple comparisons in clinical trials: no free lunch.
abstract: The likelihood ratio summarizes the strength of statistical evidence for one simple pre-determined hypothesis versus another. However, it does not directly address the multiple comparisons problem. In this paper we discuss some concerns related to the application of likelihood ratio methods to several multiple comparisons issues in clinical trials, in particular, subgroup analysis, multiple variables, interim monitoring, and data driven choice of hypotheses.
authors.affiliation: Biometric Research Branch, EPN-8129, National Cancer Institute, Bethesda, MD 20892-7434, USA. korne@ctep.nci.nih.gov
authors.forename: Edward L
authors.initials: EL
authors.lastname: Korn
authors.forename: Boris
authors.initials: B
authors.lastname: Freidlin
mesh_terms: D001185:Artificial Intelligence; D001699:Biometry / Q000379:methods*; D002986:Clinical Trials as Topic / Q000379:methods*; D016000:Cluster Analysis; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D008954:Models, Biological; D015233:Models, Statistical; D017063:Outcome Assessment, Health Care / Q000379:methods*