Assessing the prior event rate ratio method via probabilistic bias analysis on a Bayesian network
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in Medicine"
DOI: 10.1002/sim.8435
Abstract: Background: Unmeasured confounders are commonplace in observational studies conducted using real‐world data. Prior event rate ratio (PERR) adjustment is a technique shown to perform well in addressing such confounding. However, it has been demonstrated that,… read more here.
Keywords: event rate; perr; bayesian network; probabilistic bias ... See more keywords
Negative Control Exposures: Causal Effect Identifiability and Use in Probabilistic-bias and Bayesian Analyses With Unmeasured Confounders
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DOI: 10.1097/ede.0000000000001528
Abstract: Background: Probabilistic bias and Bayesian analyses are important tools for bias correction, particularly when required parameters are nonidentifiable. Negative controls are another tool; they can be used to detect and correct for confounding. Our goals… read more here.
Keywords: bayesian analyses; control; probabilistic bias; negative control ... See more keywords
O4E.4 Application of probabilistic bias analysis to adjust for exposure misclassification in a cohort of trichlorophenol workers
Sign Up to like & getrecommendations! Published in 2019 at "Occupational and Environmental Medicine"
DOI: 10.1136/oem-2019-epi.109
Abstract: This method was developed to demonstrate the application of probabilistic bias analysis to quantify and adjust for exposure misclassification in a historical cohort mortality study of New Zealand trichlorophenol workers where exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD)… read more here.
Keywords: probabilistic bias; misclassification; cohort; exposure misclassification ... See more keywords