Please use this identifier to cite or link to this item:
Kehl, Victoria
Ulm, Kurt
Year of Publication: 
Series/Report no.: 
Discussion papers / Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München 311
We present a newly developed technique for identification of positive and negative responders to a new treatment which was compared to a classical treatment (or placebo) in a randomized clinical trial. This bump-hunting-based method was developed for trials in which the two treatment arms do not differ in survival overall. It checks in a systematic manner if certain subgroups, described by predictive factors do show difference in survival due to the new treatment. Several versions of the method were discussed and compared in a simulation study. The best version of the responder identification method employs martingale residuals to a prognostic model as response in a stabilized through bootstrapping bump hunting procedure. On average it recognizes 90% of the time the correct positive responder group and 99% of the time the correct negative responder group.
responder identification
bump hunting
predictive factors
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

Files in This Item:
436.87 kB

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.