Mark J. van der Laan

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 18 papers. Top paper: “A Nonparametric Super-Efficient Estimator of the Average Treatment Effect”.

A Nonparametric Super-Efficient Estimator of the Average Treatment Effect

Statistical Science(2020)10.1214/19-sts735

N/A

0DataRank · unranked

2 citations

Weixin Cai, Mark J. van der Laan, David Benkeser

Long-term consequences of the delay between virologic failure of highly active antiretroviral therapy and regimen modification

UNC Libraries(2020)10.17615/fztr-3a29

N/A

0DataRank · unranked

0 citations

Maya Petersen, Joseph J. Eron, Richard D. Moore, Sonia Napravnik, Steven G. Deeks +1 more

Development of an ensemble machine learning prognostic model to predict 60-day risk of major adverse cardiac events in adults with chest pain

medRxiv(2021)10.1101/2021.03.08.21252615

N/A

0DataRank · unranked

6 citations

Dustin G. Mark, Jie Huang, Mark J. van der Laan, Alan Hubbard, Mary E. Reed +1 more

The Conditional Super Learner

IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)10.1109/tpami.2021.3131976

N/A

0DataRank · unranked

0 citations

Yannet Interian, Efstathios D. Gennatas, Mark J. van der Laan, Gilmer Valdés

The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions

The International Journal of Biostatistics(2022)10.1515/ijb-2020-0127

N/A

0DataRank · unranked

16 citations

Mark J. van der Laan, Alexander R. Luedtke, Jennifer L. Skeem, Jeremy Coyle, Maya Petersen +1 more

Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions

Journal of Computational and Graphical Statistics(2022)10.1080/10618600.2022.2110883

N/A

0DataRank · unranked

6 citations

Nima S. Hejazi, Mark J. van der Laan, Sandrine Dudoit, Philippe Boileau

Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups

Biometrics(2022)10.1111/biom.13800

N/A

0DataRank · unranked

5 citations

Maya L. Petersen, Mark J. van der Laan, Zeyu Zheng, Chong Wu, Jingshen Wang +1 more

Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions

The International Journal of Biostatistics(2022)10.1515/ijb-2020-0128

N/A

0DataRank · unranked

2 citations

Mark J. van der Laan, Jennifer L. Skeem, Maya L. Petersen, Lina Montoya

Robust variance estimation and inference for causal effect estimation

Journal of Causal Inference(2023)10.1515/jci-2021-0067

N/A

0DataRank · unranked

22 citations

Maya L. Petersen, Joshua Schwab, Mark J. van der Laan, Linh Tran

Defining and estimating effects in cluster randomized trials: A methods comparison

Statistics in Medicine(2023)10.1002/sim.9813

N/A

0DataRank · unranked

21 citations

Maya L. Petersen, Mark J. van der Laan, Nicole Santos, Elizabeth Butrick, Dilys Walker +5 more

Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner

medRxiv(2023)10.1101/2023.07.27.23293272

N/A

0DataRank · unranked

3 citations

Yunwen Ji, Haodong Li, Jeremy Coyle, Junming Shi, Rachael V. Philips +7 more

Semiparametric Discovery and Estimation of Interaction in Mixed Exposures using Stochastic Interventions

arXiv (Cornell University)(2023)10.48550/arxiv.2305.01849

N/A

0DataRank · unranked

1 citations

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

An Approach to Nonparametric Inference on the Causal Dose Response Function

arXiv (Cornell University)(2023)10.48550/arxiv.2306.07736

N/A

0DataRank · unranked

0 citations

Elvin Geng, Thomas Odeny, Elizabeth A. Bukusi, Maya Petersen, Mark J. van der Laan +1 more

SSRI use during acute COVID-19 and risk of Long COVID among patients with depression

BMC Medicine(2024)10.1186/s12916-024-03655-x

N/A

0DataRank · unranked

14 citations

Yunwen Ji, Sarang Deshpande, Eric Hurwitz, Alfred J Anzalone, Jeremy Coyle +7 more

Adaptive sequential surveillance with network and temporal dependence

Biometrics(2024)10.1093/biomtc/ujad007

N/A

0DataRank · unranked

3 citations

Jeremy Coyle, Mark J. van der Laan, Maya Petersen, Ivana Malenica

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

Biostatistics(2024)10.1093/biostatistics/kxaf030

N/A

0DataRank · unranked

1 citations

Breeshey Roskams-Hieter, Joshua Slaughter, Kelsey Tetley-Campbell, Mark J. van der Laan, Chris P. Ponting +3 more

Causal Inference via Electronic Health Records in the National Clinical Cohort Collaborative: Challenges and Solutions in Long COVID Research

medRxiv(2025)10.1101/2025.06.06.25329168

N/A

0DataRank · unranked

1 citations

Yunwen Ji, Letianchu Wang, Alfred J Anzalone, Eric Hurwitz, Rena C. Patel +4 more

Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning

arXiv (Cornell University)(2025)10.48550/arxiv.2512.13610

N/A

0DataRank · unranked

1 citations

Mark J. van der Laan, Maya L. Petersen, Laura B. Balzer