Bayesian modelling of lung cancer risk and bitumen fume exposure adjusted for unmeasured confounding by smoking.
OBJECTIVES: Residual confounding can be present in epidemiological studies because information on confounding factors was not collected. A Bayesian framework, which has the advantage over frequentist methods that the uncertainty in the association between the confounding factor and exposure and dise...
| Publicado en: | Occupational & Environmental Medicine Vol. 66; no. 8; pp. 502 - 509 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
BMJ Publishing Group
Aug2009
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| Acceso en línea: | Ver este registro en EBSCOhost |