activity
20182022
most citedTwo-phase analysis and study design for survival models with error-prone exposures

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

collaborators

5 papers

stat.ME2022

Testing Linear Operator Constraints in Functional Response Regression with Incomplete Response Functions

Yeonjoo Park, Kyunghee Han, Douglas G. Simpson

Hypothesis testing procedures are developed to assess linear operator constraints in function-on-scalar regression when incomplete functional responses are observed. The approach e…

stat.AP2021

Analysis of Error-prone Electronic Health Records with Multi-wave Validation Sampling: Association of Maternal Weight Gain during Pregnancy with Childhood Outcomes

Bryan E. Shepherd, Kyunghee Han, Tong Chen +6

Electronic health record (EHR) data are increasingly used for biomedical research, but these data have recognized data quality challenges. Data validation is necessary to use EHR d…

stat.ME20204 cited

Two-phase analysis and study design for survival models with error-prone exposures

Kyunghee Han, Thomas Lumley, Bryan E. Shepherd +1

Increasingly, medical research is dependent on data collected for non-research purposes, such as electronic health records data (EHR). EHR data and other large databases can be pro…

stat.ME2019

Combining multiple imputation with raking of weights: An efficient and robust approach in the setting of nearly-true models

Kyunghee Han, Pamela A. Shaw, Thomas Lumley

Multiple imputation provides us with efficient estimators in model-based methods for handling missing data under the true model. It is also well-understood that design-based estima…

stat.AP2018

Associating Growth in Infancy and Cognitive Performance in Early Childhood: A functional data analysis approach

Pantelis Z. Hadjipantelis, Kyunghee Han, Jane-Ling Wang +5

Physical growth traits can be naturally represented by continuous functions. In a large dataset of infancy growth patterns, we develop a practical approach to infer statistical ass…