Mark van der Laan

Job title:

Director/Lead Principal Investigator

Role:

Publications

Semi-parametric efficient estimation of small genetic effects in large-scale population cohorts

Oliver Labayle; Breeshey Roskams-Hieter; Joshua Slaughter; Kelsey Tetley-Campbell; Mark van der Laan; Chris P. Ponting; Sjoerd Viktor Beentjes; Ava Khamseh

Journal Article, 2025

Targeted Learning Estimation of Sampling Variance for Improved Inference

Yunwen Ji; Mark van der Laan; Alan Hubbard

Journal Article, 2025

COVID-19 Vaccination Timing, Relative to Acute COVID-19, and Subsequent Risk of Long COVID

Zachary Butzin-Dozier; Yunwen Ji; Lin-Chiun Wang; A. Jerrod Anzalone; Jeremy Coyle; Rachael Phillips; Rena C. Patel; Jing Sun; Eric Hurwitz; Sarang Deshpande; Junming (Seraphina) Shi; Andrew Mertens; Mark van der Laan; John M. Colford Jr.; Alan Hubbard

Journal Article, 2025

A cautionary note for plasmode simulation studies in the setting of causal inference

Pamela A. Shaw; Susan Gruber; Brian D. Williamson; Rishi Desai; Susan M. Shortreed; Chloe Krakauer; Jennifer C. Nelson; Mark van der Laan

Journal Article, 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 elements

Rachael Phillips; Mark van der Laan

Journal Article, 2025

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

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

All publications

Mark van der Laan

Publications

Semi-parametric efficient estimation of small genetic effects in large-scale population cohorts

Targeted Learning Estimation of Sampling Variance for Improved Inference

COVID-19 Vaccination Timing, Relative to Acute COVID-19, and Subsequent Risk of Long COVID

A cautionary note for plasmode simulation studies in the setting of causal inference

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 elements

Highly Adaptive Ridge

HAL-based Plugin Estimation of the Causal Dose-Response Curve

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

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

Adaptive sequential surveillance with network and temporal dependence

Conformal Meta-learners for Predictive Inference of Individual Treatment Effects

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

Targeted Learning in Data Science: Causal Inference for Complex Longitudinal

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

Targeted Learning: Causal Inference for Observational and Experimental Data

A Doubly Robust Censoring Unbiased Transformation

Targeted Maximum Likelihood Learning

School of Public Health