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Uncertainty analysis: an example of its application to estimating a survey proportion.

Authors
Jurek-AM; Maldonado-G; Greenland-S; Church-TR
Source
J Epidemiol Community Health 2007 Jul; 61(7):650-654
NIOSHTIC No.
20037594
Abstract
Uncertainty analysis is a method, established in engineering and policy analysis but relatively new to epidemiology, for the quantitative assessment of biases in the results of epidemiological studies. Each uncertainty analysis is situation specific, but usually involves four main steps: (1) specify the target parameter of interest and an equation for its estimator; (2) specify the equation for random and bias effects on the estimator; (3) specify prior probability distributions for the bias parameters; and (4) use Monte-Carlo or analytic techniques to propagate the uncertainty about the bias parameters through the equation, to obtain an approximate posterior probability distribution for the parameter of interest. A basic example is presented illustrating uncertainty analyses for four proportions estimated from a survey of the epidemiological literature.
Keywords
Environmental-factors; Epidemiology; Exposure-assessment; Exposure-levels; Exposure-methods; Mathematical-models; Qualitative-analysis; Quantitative-analysis; Questionnaires; Risk-analysis; Risk-factors; Standards; Statistical-analysis
Contact
Dr AM Jurek, Department of Pediatrics, University of Minnesota, Mayo Mail Code 715, 420 Delaware St SE, Minneapolis, MN 55455
CODEN
JECHDR
Publication Date
20070701
Document Type
Journal Article
Email Address
jure0007@umn.edu
Funding Type
Grant
Fiscal Year
2007
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-T42-OH-008434
Issue of Publication
7
ISSN
0143-005X
Source Name
Journal of Epidemiology and Community Health
State
MN
Performing Organization
University of Minnesota Twin Cities
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