Commentary: On Bayesian perspectives for epidemiological research
Author(s) -
James R. Carpenter
Publication year - 2006
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyl055
Subject(s) - epidemiology , bayesian probability , medicine , data science , computer science , pathology , artificial intelligence
semi-Bayes analyses of conditional-logistic and proportional-hazards regression. The impact of prior distributions for uncontrolled confounding and response bias: a case study of the relation of wire codes and magnetic fields to childhood leukemia. Being skeptical about meta-analyses: a Bayesian perspective on magnesium trials in myocardial infarction. exposures: a review and a comparative study of maximum-likelihood, preliminary testing, and empirical–Bayes regression. A retrospective cohort study of implanted medical devices and selected chronic diseases in Medicare claims data. samples and sparse data in conditional logistic regression analysis. 55 Rubin D. Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism. Prevention is better and cheaper than cure, and the contribution of epidemiology to public health has been immense. Yet, when
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