Misclassification in administrative claims data: quantifying the impact on treatment effect estimates
M Jonsson Funk, SN Landi - Current epidemiology reports, 2014 - Springer
Misclassification is present in nearly every epidemiologic study, yet is rarely quantified in
analysis in favor of a focus on random error. In this review, we discuss past and present …
analysis in favor of a focus on random error. In this review, we discuss past and present …
Accounting for misclassification bias of binary outcomes due to underscreening: a sensitivity analysis
Background Diagnostic tests are performed in a subset of the population who are at higher
risk, resulting in undiagnosed cases among those who do not receive the test. This poses a …
risk, resulting in undiagnosed cases among those who do not receive the test. This poses a …