Byungtae Seo

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PURPOSE To present multiple imputation (MI) as an appropriate method to address missing values for a laboratory parameter (serum albumin) in an epidemiologic study. METHODS A data set of patients who were hospitalized for invasive group A streptococcal infections was accessed. Age was the exposure of interest. The outcome was hospital mortality. Several(More)
Finite mixtures of normal distributions are attractive in identifying the underlying group structure in the data. However, it is a challenging task to do statistical inference in normal mixture models using the method of maximum likelihood, due to the unbounded likelihood and the existence of multiple roots to the likelihood equation including a so-called(More)
A Latent-Class Selection Model for Nonignorably Missing Data Most missing-data procedures assume that the missing values are ignorably missing or missing at random (MAR), which means that the probabilities of response do not depend on unseen quantities. Although this assumption is convenient, it is sometimes questionable. For example, questionnaire items(More)
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