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Hana Lee

4 papers hereh-index 6102 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME3
  • cs.CL1
same name
  • Hana Lee — 4 papers, h 5
  • Hana Lee — 4 papers, h 11
  • Hana Lee — 1 paper
  • Hana Lee — 1 paper, h 1
  • Hana Lee — 1 paper
  • Hana Lee — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedAssessing treatment effects in observational data with missing confounders: A comparative study of practical doubly-robust and traditional missing data methods

3 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing stat.MEShow all

3 papers · 1 filter

stat.ME2026

Considerations for the Integration of Randomized Controlled Trials and Real-World Data

Sky Qiu, Charles Barr, Lauren Dang +18

As clinical decision-making increasingly moves toward individualized and context-specific treatment recommendations, reliance on any single evidence source, randomized or observati…

stat.ME2024★ 3 cited

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

Brian D. Williamson, Chloe Krakauer, Eric Johnson +13

In pharmacoepidemiology, safety and effectiveness are frequently evaluated using readily available administrative and electronic health records data. In these settings, detailed co…

stat.ME2024★ 1 cited

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

Janick Weberpals, Pamela A. Shaw, Kueiyu Joshua Lin +17

Multiple imputation (MI) models can be improved by including auxiliary covariates (AC), but their performance in high-dimensional data is not well understood. We aimed to develop a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.