160 citations · 289 across the 12 of their papers we have counts for
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stat.ME2019
Sensitivity analysis for bias due to a misclassfied confounding variable in marginal structural models
Linda Nab, Rolf H. H. Groenwold, Maarten van Smeden +1
In observational research treatment effects, the average treatment effect (ATE) estimator may be biased if a confounding variable is misclassified. We discuss the impact of classif…
stat.ME2019★ 1 cited
Measurement error as a missing data problem
Ruth H. Keogh, Jonathan W. Bartlett
This article focuses on measurement error in covariates in regression analyses in which the aim is to estimate the association between one or more covariates and an outcome, adjust…