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Circulation. Cardiovascular Quality and Outcomes|February 4, 2010
Missing data analysis using multiple imputation: getting to the heart of the matterYulei HeSurvey Statistician|August 14, 2023
Multiple Imputation of Missing Complex Survey Data using SAS®: A Brief Overview and An Example Based on the Research and Development Survey (RANDS)Yulei He, Guangyu ZhangBiometrics|February 13, 2009
Combining information from cancer registry and medical records data to improve analyses of adjuvant cancer therapiesYulei He, Alan M ZaslavskyStatistics in Medicine|December 6, 2011
Diagnosing imputation models by applying target analyses to posterior replicates of completed dataYulei He, Alan M ZaslavskyCirculation. Cardiovascular Quality and Outcomes|August 12, 2017
Bayesian Analysis: A Practical Approach to Interpret Clinical Trials and Create Clinical Practice GuidelinesJohn A Bittl, Yulei HeJournal of Survey Statistics and Methodology|April 26, 2024
A SEMIPARAMETRIC MULTIPLE IMPUTATION APPROACH TO FULLY SYNTHETIC DATA FOR COMPLEX SURVEYSMandi Yu, Yulei He, Trivellore E RaghunathanStatistical Journal of the IAOS|August 25, 2020
Multiple imputation to account for linkage ineligibility in the NHANES-CMS Medicaid linked data: General use versus subject specific imputation modelsJennifer Rammon, Yulei He, Jennifer D ParkerStatistics in Medicine|February 23, 2011
A functional multiple imputation approach to incomplete longitudinal dataYulei He, Recai Yucel, Trivellore E RaghunathanHealth Services & Outcomes Research Methodology|August 25, 2020
Accounting for study participants who are ineligible for linkage: a multiple imputation approach to analyzing the linked National Health and Nutrition Examination Survey and Centers for Medicare and Medicaid Services' Medicaid dataJennifer Rammon, Yulei He, Jennifer D ParkerStatistics in Medicine|September 1, 2010
A comparison of multiple imputation and fully augmented weighted estimators for Cox regression with missing covariatesLihong Qi, Ying-Fang Wang, Yulei HePageof 11