Details:

Alternative Title:
Epidemiology
Publisher's site:
http://dx.doi.org/10.1097/EDE.0b013e31827623ea
Personal Author:
Hamra, Ghassan ; Richardson, David ; MacLehose, Richard ; Wing, Steve
Hamra, Ghassan ; Richardson, David ; MacLehose, Richard ; Wing, Steve Less -
Description:
Informative priors can be a useful tool for epidemiologists to handle problems of sparse data in regression modeling. It is sometimes the case that an investigator is studying a population exposed to two agents, X and Y, where Y is the agent of primary interest. Previous research may suggest that the exposures have different effects on the health outcome of interest, one being more harmful than the other. Such information may be derived from epidemiologic analyses; however, in the case where such evidence is unavailable, knowledge can be drawn from toxicologic studies or other experimental research. Unfortunately, using toxicologic findings to develop informative priors in epidemiologic analyses requires strong assumptions, with no established method for its utilization. We present a method to help bridge the gap between animal and cellular studies and epidemiologic research by specification of an order-constrained prior. We illustrate this approach using an example from radiation epidemiology.
Subjects:
[+]
Bayes Theorem Beta Particles Dose-Response Relationship, Radiation Epidemiologic Research Design Gamma Rays Humans Leukemia, Radiation-Induced Markov Chains Models, Biological Models, Statistical Monte Carlo Method Occupational Diseases Occupational Exposure Regression Analysis Toxicology Tritium
Source:
Epidemiology. 2012; 24(1):90-95.
Document Type:
Journal Article
Funding:
1R03OH009800-01/OH/NIOSH CDC HHS/United States ; T32 ES007018/ES/NIEHS NIH HHS/United States
1R03OH009800-01/OH/NIOSH CDC HHS/United States ; T32 ES007018/ES/NIEHS NIH HHS/United States Less -
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:5e1a396779268be59d802b573a61fbc01b845fc8ec6d850fe91a9d53705b8147
Download URL:
https://stacks.cdc.gov/view/cdc/29633/cdc_29633_DS1.pdf
File Type:

Supporting Files

• 	NIHMS445523-supplement-supplement.pdf	pdf
  	nihms445523.nxml	txt
  	nihms445523f1.gif	gif
  	nihms445523f1.jpg	jpeg

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