A Simulation Study to Compare Methods for Subgroup Identification and Subgroup Effect Inference in Clinical Trials

dc.contributor.advisor	Ickstadt, Katja
dc.contributor.author	Thomas, Marius
dc.contributor.referee	Ickstadt, Katja
dc.contributor.referee	Bornkamp, Björn
dc.date.accessioned	2016-06-06T10:10:18Z
dc.date.available	2016-06-06T10:10:18Z
dc.date.issued	2015-11-03
dc.description.abstract	Identifying subgroups, which respond differently to a treatment, both in terms of efficacy and safety, is an important part of drug development. In early phase exploratory clinical trials the well-known challenges of subgroup analyses, like multiplicity and lack of power, are further amplified by the low sample size and because relatively limited clinical prior information on the drug is available. In this thesis some novel strategies for subgroup identification and treatment effect estimation in selected subgroups are compared in a simulation study motivated by real clinical trial situations.	en
dc.identifier.uri	http://hdl.handle.net/2003/35035
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-17083
dc.language.iso	en	de
dc.subject.ddc	310
dc.title	A Simulation Study to Compare Methods for Subgroup Identification and Subgroup Effect Inference in Clinical Trials	en
dc.type	Text
dc.type.publicationtype	masterThesis	de
dcterms.accessRights	restricted

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