Int. J. Environ. Res. Public Health 2010, 7(4), 1520-1539; doi:10.3390/ijerph7041520
Review

Probabilistic Approaches to Better Quantifying the Results of Epidemiologic Studies

1,* email and 2email
Received: 12 February 2010; in revised form: 26 March 2010 / Accepted: 29 March 2010 / Published: 1 April 2010
(This article belongs to the Special Issue Advances in Epidemiology)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Typical statistical analysis of epidemiologic data captures uncertainty due to random sampling variation, but ignores more systematic sources of variation such as selection bias, measurement error, and unobserved confounding. Such sources are often only mentioned via qualitative caveats, perhaps under the heading of ‘study limitations.’ Recently, however, there has been considerable interest and advancement in probabilistic methodologies for more integrated statistical analysis. Such techniques hold the promise of replacing a confidence interval reflecting only random sampling variation with an interval reflecting all, or at least more, sources of uncertainty. We survey and appraise the recent literature in this area, giving some prominence to the use of Bayesian statistical methodology.
Keywords: confounding; epidemiologic methods; exposure misclassification; selection bias; sensitivity analysis
PDF Full-text Download PDF Full-Text [258 KB, uploaded 19 June 2014 02:32 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Gustafson, P.; McCandless, L.C. Probabilistic Approaches to Better Quantifying the Results of Epidemiologic Studies. Int. J. Environ. Res. Public Health 2010, 7, 1520-1539.

AMA Style

Gustafson P, McCandless LC. Probabilistic Approaches to Better Quantifying the Results of Epidemiologic Studies. International Journal of Environmental Research and Public Health. 2010; 7(4):1520-1539.

Chicago/Turabian Style

Gustafson, Paul; McCandless, Lawrence C. 2010. "Probabilistic Approaches to Better Quantifying the Results of Epidemiologic Studies." Int. J. Environ. Res. Public Health 7, no. 4: 1520-1539.


Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert