329 citations · 482 across the 9 of their papers we have counts for
4 papers · 1 filter
On efficient adjustment in causal graphs
Janine Witte, Leonard Henckel, Marloes H. Maathuis +1
We consider estimation of a total causal effect from observational data via covariate adjustment. Ideally, adjustment sets are selected based on a given causal graph, reflecting kn…
A Complete Generalized Adjustment Criterion
Emilija Perković, Johannes Textor, Markus Kalisch +1
Covariate adjustment is a widely used approach to estimate total causal effects from observational data. Several graphical criteria have been developed in recent years to identify…
Current status data with competing risks: Limiting distribution of the MLE
Piet Groeneboom, Marloes H. Maathuis, Jon A. Wellner
We study nonparametric estimation for current status data with competing risks. Our main interest is in the nonparametric maximum likelihood estimator (MLE), and for comparison we…
Current status data with competing risks: Consistency and rates of Convergence of the MLE
Piet Groeneboom, Marloes H. Maathuis, Jon A. Wellner
We study nonparametric estimation of the sub-distribution functions for current status data with competing risks. Our main interest is in the nonparametric maximum likelihood estim…