A semi-parametric framework using fractional imputation and EM algorithm for estimating causal direct and indirect effects with left-censored mediators due to assay limits.
Statistical Science , volume=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Develops an iDiD estimator for case-control sampling grounded in structural mean modeling that remains valid for IV candidates with time-invariant direct effects once selection bias is accounted for.
citing papers explorer
-
Evaluating causal indirect effects when mediators are left-censored by assay limit of quantification
A semi-parametric framework using fractional imputation and EM algorithm for estimating causal direct and indirect effects with left-censored mediators due to assay limits.
-
Instrumented difference-in-differences under case-control sampling
Develops an iDiD estimator for case-control sampling grounded in structural mean modeling that remains valid for IV candidates with time-invariant direct effects once selection bias is accounted for.