Uncertainty Analysis: An Example of Its Application to Estimating a Survey Proportion
-
2007/07/01
-
Details
-
Personal Author:
-
Description: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. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
ISSN:0143-005X
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
Volume:61
-
Issue:7
-
NIOSHTIC Number:nn:20037594
-
Citation:J Epidemiol Community Health 2007 Jul; 61(7):650-654
-
Contact Point Address:Dr AM Jurek, Department of Pediatrics, University of Minnesota, Mayo Mail Code 715, 420 Delaware St SE, Minneapolis, MN 55455
-
Email:jure0007@umn.edu
-
Federal Fiscal Year:2007
-
Performing Organization:University of Minnesota Twin Cities
-
Peer Reviewed:True
-
Start Date:20050701
-
Source Full Name:Journal of Epidemiology and Community Health
-
End Date:20250630
-
Collection(s):
-
Main Document Checksum:urn:sha-512:bd21d6b69e7273e0c8cb4a1de974fc93f4951d5a85ba15acf7bcd41dc48d56c106ecca924b7bc1b6058134218cd01048146c10e509c4d79396cb570261dc8c42
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like