International Journal of Environmental Research and Public Health | |
Effects of Non-Differential Exposure Misclassification on False Conclusions in Hypothesis-Generating Studies | |
Igor Burstyn2  Yunwen Yang1  A. Robert Schnatter3  | |
[1]Department of Epidemiology and Biostatistics, School of Public Health, Drexel University, Nesbitt Hall, 3215 Market Street, PA 19104, USA | |
[2] E-Mail: | |
[3]Department of Environmental and Occupational Health, School of Public Health, Drexel University, Nesbitt Hall, 3215 Market Street, PA 19104, USA | |
[4]Occupational and Public Health Division, ExxonMobil Biomedical Sciences Inc., 1545 U.S. Highway 22 East, Annandale, NJ 08801, USA | |
[5] E-Mail: | |
关键词: false positive; false negative; Monte-Carlo simulation; study design; ase-control studies; measurement error; exposure misclassification; Bayesian; hypothesis-testing; power; | |
DOI : 10.3390/ijerph111010951 | |
来源: mdpi | |
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【 摘 要 】
Despite the theoretical success of obviating the need for hypothesis-generating studies, they live on in epidemiological practice. Cole asserted that “… there is boundless number of hypotheses that could be generated, nearly all of them wrong” and urged us to focus on evaluating “credibility of hypothesis”. Adopting a Bayesian approach, we put this elegant logic into quantitative terms at the study planning stage for studies where the prior belief in the null hypothesis is high (
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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