Mark J. van der Laan

Berkeley Public Health Division — United States

Mathematics · Physical Sciences

71h-index20.4kcitations574works1.22yr avg
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Research Topics

Statistical Methods and Inference(329), Advanced Causal Inference Techniques(271), Statistical Methods and Bayesian Inference(213), Statistical Methods in Clinical Trials(123), Gene expression and cancer classification(46)

Publications574 total

Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
arXiv (Cornell University)·2025Open Access
Glucose-Lowering Medication Classes and Cardiovascular Outcomes in Patients With Type 2 Diabetes
JAMA Network Open·2025· 3 citedOpen Access
Epistatic contributions to human traits via transcription factor mechanisms
2025Open Access
Doubly robust nonparametric estimators of the predictive value of covariates for survival data
Biometrics·2025
Powering RCTs for marginal effects with GLMs using prognostic score adjustment
arXiv (Cornell University)·2025· 1 citedOpen Access
Semiparametric efficient estimation of small genetic effects in large-scale population cohorts
Biostatistics·2025Open Access
Author Correction: Early-childhood linear growth faltering in low- and middle-income countries
Nature·2024· 1 citedOpen Access
Highly adaptive LASSO: Machine learning that provides valid nonparametric inference in realistic models
2024Open Access
Selecting Optimal Subgroups for Treatment Using Many Covariates1
2024· 4 cited
[Invited Discussion] Randomization Tests to Address Disruptions in Clinical Trials: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions
arXiv (Cornell University)·2024Open Access
Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study
JMIR Public Health and Surveillance·2024· 4 citedOpen Access
Estimating conditional hazard functions and densities with the highly-adaptive lasso
arXiv (Cornell University)·2024· 1 citedOpen Access
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning
arXiv (Cornell University)·2024Open Access
Nonparametric efficient causal estimation of the intervention-specific expected number of recurrent events with continuous-time targeted maximum likelihood and highly adaptive lasso estimation
arXiv (Cornell University)·2024Open Access
SSRI Use During Acute COVID-19 Infection Associated with Lower Risk of Long COVID Among Patients with Depression
2024· 4 citedOpen Access
Adaptive sequential surveillance with network and temporal dependence
Biometrics·2024· 1 citedOpen Access
concrete: Targeted Estimation of Survival and Competing Risks in Continuous Time
arXiv (Cornell University)·2023· 1 citedOpen Access
Author Correction: Early-childhood linear growth faltering in low- and middle-income countries
Nature·2023Open Access
Author Correction: Child wasting and concurrent stunting in low- and middle-income countries
Nature·2023· 1 citedOpen Access
Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study (Preprint)
2023· 1 citedOpen Access
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Frequent Co-authors

Sandrine Dudoit(11), Susan Gruber(7), Maya L. Petersen(6), Katherine S. Pollard(5), Maya Petersen(4), Alan Hubbard(3), Sherri Rose(3), Sandra E. Sinisi(3), Eric C. Polley(2), Kristin E. Porter(2), James M. Robins(2), Marco Carone(2), Richard D. Gill(2), Alexander R. Luedtke(2), Aad van der Vaart(2), Oleg Sofrygin(2), Parul Christian(2), Daniel B. Rubin(1), Sherri Rose(1), Yue Wang(1)