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Titel:

A simulation study on estimating biomarker-treatment interaction effects in randomized trials with prognostic variables.

Dokumenttyp:
Journal Article
Autor(en):
Haller, Bernhard; Ulm, Kurt
Abstract:
BACKGROUND: To individualize treatment decisions based on patient characteristics, identification of an interaction between a biomarker and treatment is necessary. Often such potential interactions are analysed using data from randomized clinical trials intended for comparison of two treatments. Tests of interactions are often lacking statistical power and we investigated if and how a consideration of further prognostic variables can improve power and decrease the bias of estimated biomarker-tre...     »
Zeitschriftentitel:
Trials
Jahr:
2018
Band / Volume:
19
Heft / Issue:
1
Volltext / DOI:
doi:10.1186/s13063-018-2491-0
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/29463271
Print-ISSN:
1745-6215
TUM Einrichtung:
Institut für Medizinische Statistik und Epidemiologie
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