🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Hana Lee

United States Food and Drug Administration

ORCID: 0000-0001-5063-6689

Also affiliated with Center for Drug Evaluation and Research, Seoul National University

MathematicsMedicineEconomics, Econometrics and FinanceImmunology and Microbiology

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 5 papers. Top paper: “Targeted learning with an undersmoothed LASSO propensity score model for large-scale covariate adjustment in health-care database studies”.

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

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

Trends in new and persistent opioid use in older adults with and without cancer

JNCI Journal of the National Cancer Institute(2023)10.1093/jnci/djad206
N/A
0DataRank · unranked
11 citations

Madhav KC, Pamela R. Soulos, Molly M. Jeffery, Kathryn J. Ruddy, Catherine C. Lerro +9 more

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

High-dimensional multiple imputation for partially observed confounders including natural language processing–derived auxiliary covariates

American Journal of Epidemiology(2025)10.1093/aje/kwaf017
N/A
0DataRank · unranked
4 citations

Pamela A. Shaw, Kueiyu Joshua Lin, Richard Wyss, Joseph M. Plasek, Li Zhou +15 more