Showing results (1-10 of 111) with videos related to
Sort By:
Pageof 12
The International Journal of Biostatistics|May 27, 2016
One-Step Targeted Minimum Loss-based Estimation Based on Universal Least Favorable One-Dimensional SubmodelsMark van der Laan, Susan GruberBMC Medical Research Methodology|August 2, 2023
Evaluating and improving real-world evidence with Targeted LearningSusan Gruber, Rachael V Phillips, Hana Lee, et al.Journal of Causal Inference|April 25, 2015
Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working ModelsMaya Petersen, Joshua Schwab, Susan Gruber, et al.The International Journal of Biostatistics|October 13, 2017
A Generally Efficient Targeted Minimum Loss Based Estimator based on the Highly Adaptive LassoMark van der LaanAmerican Journal of Epidemiology|February 4, 2014
A double robust approach to causal effects in case-control studiesSherri Rose, Mark van der LaanObservational Studies|June 9, 2025
Commentary on ``Nonparametric identification is not enough, but randomized controlled trials are'': Statistical considerations for generating reliable evidence across a spectrum of studies that increasingly involve real-world elementsRachael Phillips, Mark van der LaanProceedings of the ... International Conference on Data Science and Advanced Analytics. IEEE International Conference on Data Science and Advanced Analytics|November 3, 2017
The Highly Adaptive Lasso EstimatorDavid Benkeser, Mark van der LaanJournal of Causal Inference|February 2, 2018
Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival OutcomesWenjing Zheng, Mark van der LaanThe International Journal of Biostatistics|August 11, 2020
Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimatorWeixin Cai, Mark van der LaanBiometrics|October 8, 2011
Population intervention causal effects based on stochastic interventionsIván Díaz Muñoz, Mark van der LaanPageof 12