Open AccessEstimating the relative risk of pancreatic cancer associated with exposure agents in job title data in a hierarchical Bayesian meta-analysis
Author(s) -
Anneli Ojajärvi,
Timo Partanen,
Anders Ahlbom,
Timo Hakulinen,
Timo Kauppinen,
Elisabete Weiderpass,
Catharina Wesseling
Publication year - 2007
Publication title -
scandinavian journal of work, environment and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.621
H-Index - 103
eISSN - 1795-990X
pISSN - 0355-3140
DOI - 10.5271/sjweh.1153
Subject(s) - random effects model , meta analysis , bayesian probability , pancreatic cancer , job exposure matrix , relative risk , occupational cancer , consistency (knowledge bases) , medicine , multilevel model , occupational exposure , hierarchical database model , statistics , econometrics , oncology , cancer , environmental health , computer science , confidence interval , mathematics , data mining , artificial intelligence
The study demonstrates the application of a hierarchical Bayesian meta-analysis of epidemiologic studies that show an association between pancreatic cancer risk and job titles, using a job-exposure matrix to estimate risks for occupational exposure agents.