8 citations · 8 across the 2 of their papers we have counts for
3 papers · 1 filter
Targeting Learning: Robust Statistics for Reproducible Research
Jeremy R. Coyle, Nima S. Hejazi, Ivana Malenica +9
Targeted Learning is a subfield of statistics that unifies advances in causal inference, machine learning and statistical theory to help answer scientifically impactful questions w…
A nonparametric super-efficient estimator of the average treatment effect
David Benkeser, Weixin Cai, Mark J van der Laan
Doubly robust estimators of causal effects are a popular means of estimating causal effects. Such estimators combine an estimate of the conditional mean of the outcome given treatm…
One-step Targeted Maximum Likelihood for Time-to-event Outcomes
Weixin Cai, Mark J. van der Laan
Current Targeted Maximum Likelihood Estimation (TMLE) methods used to analyze time-to-event data estimate the survival probability for each time point separately, which result in e…