Negative Control Exposures: Causal Effect Identifiability and Use in Probabilistic-bias and Bayesian Analyses With Unmeasured Confounders.
W Dana FlandersLance A WallerQi ZhangDarios GetahunMichael SilverbergMichael GoodmanPublished in: Epidemiology (Cambridge, Mass.) (2022)
We used dichotomous negative control exposure to identify causal effects when a confounder was unmeasured under strong assumptions. It may be possible to relax assumptions and the negative control exposure could prove helpful for probabilistic bias analyses and Bayesian analyses.
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