most citedSemiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model

4 citations · 4 across the 2 of their papers we have counts for

collaborators
Showing stat.MEShow all

1 paper · 1 filter

stat.ME2019★ 4 cited

Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model

Daniel Malinsky, Ilya Shpitser, Eric J Tchetgen Tchetgen

We study the identification and estimation of statistical functionals of multivariate data missing non-monotonically and not-at-random, taking a semiparametric approach. Specifical…