Analyzing propensity score methods on randomized controlled clinical trials
Autor: | Dieckmann, D, Götte, H, Jahn, A |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 78 /20210226/ |
DOI: | 10.3205/20gmds274 |
Popis: | Background: Propensity score methods are widely used for analyzing treatment effects in non-randomized controlled trials and observational studies. They account only for observable confounder via analysis. In contrast to that randomized trials account for observable and unobservable confounder via design,[for full text, please go to the a.m. URL] 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS) |
Databáze: | OpenAIRE |
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