Mark van der Laan

MathematicsEconomics, Econometrics and Finance

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 16 papers. Top paper: “Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials”.

Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials

Biostatistics(2021)10.1093/biostatistics/kxab043

N/A

0.571DataRank · unranked

44 citations

Mark van der Laan, James Ayieko, Moses R. Kamya, Gabriel Chamie, Joshua Schwab +3 more

Targeted learning with an undersmoothed LASSO propensity score model for large-scale covariate adjustment in health-care database studies

American Journal of Epidemiology(2024)10.1093/aje/kwae023

N/A

0.406DataRank · unranked

14 citations

Mark van der Laan, Susan Gruber, Xu Shi, Hana Lee, Sarah K. Dutcher +7 more

Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

EBioMedicine(2024)10.1016/j.ebiom.2024.105333

N/A

0.241DataRank · unranked

4 citations

Johanna J. Loomba, Emily Pfaff, Fangfang Xia, Zixuan Zhao, Yitan Zhu +90 more

Adaptive debiased machine learning using data-driven model selection techniques

arXiv (Cornell University)(2023)10.48550/arxiv.2307.12544

N/A

0.208DataRank · unranked

3 citations

Marco Carone, Alex Luedtke, Mark van der Laan, Lars van der Laan

Note on targeted learning with an undersmoothed Lasso propensity score model for large-scale covariate adjustment in health care database studies

American Journal of Epidemiology(2025)10.1093/aje/kwaf024

N/A

0.165DataRank · unranked

2 citations

Mark van der Laan, Susan Gruber, Xu Shi, Hana Lee, Sarah K. Dutcher +7 more

Correcting an estimator of a multivariate monotone function with isotonic regression

Electronic Journal of Statistics(2020)10.1214/20-ejs1740

N/A

0.104DataRank · unranked

1 citations

Mark van der Laan, Marco Carone, Ted Westling

Assessing treatment effects in observational data with missing confounders: A comparative study of practical doubly-robust and traditional missing data methods

arXiv (Cornell University)(2024)10.48550/arxiv.2412.15012

N/A

0DataRank · unranked

1 citations

Chloe Krakauer, Eric Johnson, Susan Gruber, Bryan E. Shepherd, Mark van der Laan +11 more

Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer

arXiv (Cornell University)(2024)10.48550/arxiv.2404.04399

N/A

0DataRank · unranked

0 citations

Yi Li, Yulun Wu, Sky Qiu, Yuxuan Li, Mingduo Zhao +3 more

An Online Meta-Level Adaptive Design Framework with Targeted Learning Inference: Applications to Evaluating and Utilizing Surrogate Outcomes in Adaptive Designs

arXiv (Cornell University)(2024)10.48550/arxiv.2408.02667

N/A

0DataRank · unranked

0 citations

Aaron Hudson, Maya L. Petersen, Mark van der Laan, Wenxin Zhang

Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator

The International Journal of Biostatistics(2020)10.1515/ijb-2017-0070

N/A

0DataRank · unranked

86 citations

Mark van der Laan, Weixin Cai

Targeted maximum likelihood based estimation for longitudinal mediation analysis

Journal of Causal Inference(2025)10.1515/jci-2023-0013

N/A

0DataRank · unranked

1 citations

Lars van der Laan, Maya L. Petersen, Thomas Alexander Gerds, Kajsa Kvist, Mark van der Laan +1 more

CVtreeMLE: Efficient Estimation of Mixed Exposuresusing Data Adaptive Decision Trees and Cross-Validated Targeted MaximumLikelihood Estimation in R

The Journal of Open Source Software(2023)10.21105/joss.04181

N/A

0DataRank · unranked

2 citations

Alan Hubbard, Mark van der Laan, David McCoy

SuperNOVA: Semi-Parametric Identification andEstimation of Interaction and Effect Modification in Mixed Exposuresusing Stochastic Interventions in R

The Journal of Open Source Software(2023)10.21105/joss.05422

N/A

0DataRank · unranked

4 citations

Alejandro Schuler, Alan Hubbard, Mark van der Laan, David McCoy

Discovery of Critical Thresholds in Mixed Exposures and Estimation of Policy Intervention Effects using Targeted Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2302.07976

N/A

0DataRank · unranked

1 citations

Alan Hubbard, Alejandro Schuler, Mark van der Laan, David McCoy

Targeted Maximum Likelihood Based Estimation for Longitudinal Mediation Analysis

arXiv (Cornell University)(2023)10.48550/arxiv.2304.04904

N/A

0DataRank · unranked

1 citations

Lars van der Laan, Maya L. Petersen, Thomas Alexander Gerds, Kajsa Kvist, Mark van der Laan +1 more

Extension of efficacy range for targeted malaria-elimination interventions due to spillover effects

Nature Medicine(2024)10.1038/s41591-024-03134-z

N/A

0DataRank · unranked

12 citations

Haodong Li, Anna Nguyen, Gabriella Barratt Heitmann, Adam Bennett, Henry Ntuku +12 more