A Capture–Recapture-based Ascertainment Probability Weightin... : Epidemiology A
Capture–Recapture-based Ascertainment Probability Weighting Method for Effect Estimation …

Purpose Selection bias is a form of systematic error that can be severe in compromised
study designs such as case-control studies with inappropriate selection mechanisms or …

Accurate rates, though fundamental to epidemiology, are often very difficult to obtain.
Incidence, prevalence, and mortality rates have traditionally been established through either …

Inverse probability weighting (IPW) and g-computation are commonly used in time-varying
analyses. To inform decisions on which to use, we compared these methods using a …

Objectives Epidemiologic studies often suffer from incomplete data, measurement error (or
misclassification), and confounding. Each of these can cause bias and imprecision in …

Background Attrition in cohort studies challenges causal inference. Although inverse
probability weighting (IPW) has been proposed to handle attrition in association analyses, its …

Inverse Probability of Treatment Weighting and Confounder Mi... : Epidemiology Inverse
Probability of Treatment Weighting and Confounder Missingness in Electronic Health …

Great care is taken in epidemiologic studies to ensure the internal validity of causal effect
estimates; however, external validity has received considerably less attention. When the …

Purpose To demonstrate improvements in the precision of inverse probability-weighted
estimators by use of auxiliary variables, ie, determinants of the outcome that are …

Optimal use of epidemiologic findings in decision making requires more information than
standard analyses provide. It requires calculating and reporting the total uncertainty in the …