4 citations · 6 across the 6 of their papers we have counts for
6 papers
Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation
Kyunghee Han, Dogyoon Song
Fréchet regression has emerged as a promising approach for regression analysis involving non-Euclidean response variables. However, its practical applicability has been hindered by…
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…
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…
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…
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…
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…