Zachary Butzin-Dozier; Yunwen Ji; Haodong Li; Jeremy Coyle; Junming (Seraphina) Shi; Rachael Phillips; Andrew Mertens; Romain Pirracchio; Mark van der Laan; Rena C Patel; John M Colford; Alan Hubbard

Journal Article, 2024

Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data

Mark van der Laan; Sky Qiu; Lars van der Laan

Journal Article, 2024

Estimating conditional hazard functions and densities with the highly-adaptive lasso

Anders Munch; Thomas A. Gerds; Mark van der Laan; Helena C. W. Rytgaard

Journal Article, 2024

Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning

Razieh Nabi; Nima Hejazi; Mark van der Laan; David Benkeser

Journal Article, 2024

Adaptive sequential surveillance with network and temporal dependence

Ivana Malenica; Jeremy R Coyle; Mark van der Laan; Maya Petersen

Journal Article, 2024

Conformal Meta-learners for Predictive Inference of Individual Treatment Effects

Mark van der Laan; Ahmed M. Alaa; Zaid Ahmad

Journal Article, 2023

Targeted Learning: Toward a Future Informed by Real-World Evidence

Mark van der Laan; Rachael Phillips; Susan Gruber; Martin Ho; John Concato; Hana Lee

Journal Article, 2023

Targeted Learning in Data Science: Causal Inference for Complex Longitudinal

Sherri Rose; Mark van der Laan

Book, 2018

Causal Models and Learning from Data: Integrating Causal Modeling and Statistical Estimation in the Practice of Epidemiology

Maya Petersen; Mark van der Laan

Journal Article, 2015

Targeted Learning: Causal Inference for Observational and Experimental Data

Sherri Rose; Mark van der Laan

Book, 2011

A Doubly Robust Censoring Unbiased Transformation

Dan Rubin; Mark van der Laan

Journal Article, 2007

Targeted Maximum Likelihood Learning

Mark van der Laan; Dan Rubin

Journal Article, 2006

All publications

Mark van der Laan

Publications

School of Public Health