Identifying optimized decision criteria and experimental designs by simulating preclinical experiments in silico

Autor:	Danziger, M, Toelch, U, Dirnagl, U
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	experimental design ddc: 610 translation preclinical research 610 Medical sciences Medicine reproducibility
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. 431 /20210226/
DOI:	10.3205/20gmds101
Popis:	Low statistical power in preclinical experiments has been repeatedly pointed out as a roadblock to successful replication and translation. If only a small number of tested interventions is effective (i.e. pre-study odds are low), researchers should increase the power of their experiments to detect those[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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