Model selection versus model averaging in dose finding studies

Simple item page
dc.contributor.authorSchorning, Kirsten
dc.contributor.authorBornkamp, Björn
dc.contributor.authorBretz, Frank
dc.contributor.authorDette, Holger
dc.date.accessioned2015-07-10T07:29:13Z
dc.date.available2015-07-10T07:29:13Z
dc.date.issued2015
dc.description.abstractPhase II dose finding studies in clinical drug development are typically conducted to adequately characterize the dose response relationship of a new drug. An important decision is then on the choice of a suitable dose response function to support dose selection for the subsequent Phase III studies. In this paper we compare different approaches for model selection and model averaging using mathematical properties as well as simulations. Accordingly, we review and illustrate asymptotic properties of model selection criteria and investigate their behavior when changing the sample size but keeping the effect size constant. In a large scale simulation study we investigate how the various approaches perform in realistically chosen settings. Finally, the different methods are illustrated with a recently conducted Phase II dosefinding study in patients with chronic obstructive pulmonary disease.en
dc.identifier.urihttp://hdl.handle.net/2003/34145
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-415
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823;21/2015
dc.subjectmodel selectionen
dc.subjectsimulation studyen
dc.subjectclinical trialsen
dc.subjectmodel averagingen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleModel selection versus model averaging in dose finding studiesen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
DP_2115_SFB823_Schorning_Bornkamp_Bretz_Dette.pdf
Size:
594.44 KB
Format:
Adobe Portable Document Format
Description:
DNB
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.12 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Sonderforschungsbereich (SFB) 823