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Publications by Kim May Lee
Optimal Design When Outcome Values Are Not Missing at Random
Statistica Sinica
Uncertainty
Statistics
Probability
Optimal Design for Experiments With Possibly Incomplete Observations
Statistica Sinica
Uncertainty
Statistics
Probability
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A General Instrumental Variable Framework for Regression Analysis With Outcome Missing Not at Random
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Cox Regression With Covariates Missing Not at Random
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Consistency of Normal-Distribution-Based Pseudo Maximum Likelihood Estimates When Data Are Missing at Random
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Optimal Clustering With Missing Values
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Multiple Imputation of Binary Multilevel Missing Not at Random Data
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Weighted Multiple Imputation of Ethnicity Data That Are Missing Not at Random in Primary Care Databases
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When Co-Authors Are Missing in Action
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Mixed Sib and Random Mating When Homozygotes Are at a Disadvantage
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“It's Not Hard to Make Decisions When You Know What Your Values Are”∗
Journal of the Association for Laboratory Automation
