Bayesian Variable Selection Methods for Matched Case-Control Studies
نویسندگان
چکیده
منابع مشابه
Bayesian Inference for Matched Case-Control Studies
Case-control studies occupy a central place in epidemiological research. The basic idea here is the comparison of a group (the “cases”) having the outcome of interest (normally some disease) with respect to a control group (those without disease) regarding one or more characteristics (exposure to certain external events). One of the early examples, which sparked a lot of debate in the fifties b...
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Covariate and confounder selection in case-control studies is often carried out using a statistical variable selection method, such as a two-step method or a stepwise method in logistic regression. Inference is then carried out conditionally on the selected model, but this ignores the model uncertainty implicit in the variable selection process, and so may underestimate uncertainty about relati...
متن کاملMatched Case-Control Studies
'National Cancer Institute, Biometric Research Branch, DCTD, Executive Plaza North, Room 739, 6130 Executive Boulevard, MSC 7434, Bethesda, Maryland 20892-7434, U.S.A. 2National Cancer Institute, Biometry Research Group, DCP, Executive Plaza North, Room 344, 6130 Executive Boulevard, Bethesda, Maryland 20892, U.S.A. 3F0x Chase Cancer Center, 7701 Burholme Avenue, Philadelphia, Pennsylvania 1911...
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Power calculations are derived for matched case-control studies in terms of the probability po of exposure among the control patients, the correlation coefficient phi for exposure between matched case and control patients, and the odds ratio psi for exposure in case and control patients. For given Type I and Type II error probabilities alpha and beta, the odds ratio that can be detected with a ...
متن کاملUncovering selection bias in case-control studies using Bayesian poststratifictation
Selection bias can affect odds ratio estimation in particular in case-control studies. Approaches to discovering and adjusting for selection bias have been proposed in the literature using graphical and heuristic tools as well as more complex statistical methods. The approach we propose is based on a survey weighting method termed Bayesian post-stratification and follows from the conditional in...
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ژورنال
عنوان ژورنال: The International Journal of Biostatistics
سال: 2017
ISSN: 1557-4679
DOI: 10.1515/ijb-2016-0043