Modeling by multiple enchained imputation is an area of growing importance. However, its models and methods are frequently developed for specific applications. In this study the model for multiple ...

Evaluating and tracking patients’ functional status through the post-acute care continuum requires a common instrument. However, different post-acute service providers such as nursing homes, inpatient ...

Data is almost always incomplete. Patients drop out of clinical trials and survey respondents skip questions; schools fail to report scores, and governments ignore elements of their economies. When ...

Departments of Physiology and Medicine, University of California, Los Angeles (UCLA) School of Medicine, Los Angeles, California 90095, United States NHLBI Integrated Cardiovascular Data Science ...

Epidemiological studies often have missing data, which are commonly handled by multiple imputation (MI). In MI, in addition to those required for the substantive ...

Abstract: Intelligent techniques, including artificial intelligence and deep learning, normally perform on complete data without missing data. Multiple imputation is indispensable for addressing ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Abstract: Missing data are present in most real world problems and need careful handling to preserve the prediction accuracy and statistical consistency in the downstream analysis. As the gold ...