Nature

Using multiple imputation to assign pesticide use for non-responders in the follow-up questionnaire in the Agricultural Health Study

The Agricultural Health Study (AHS), a large prospective cohort, was designed to elucidate associations between pesticide use and other agricultural exposures and health outcomes. The cohort includes ...
CU Boulder News & Events

Multiple Imputation and Missing Data

Missing data can plague researchers in many scenarios, arising from incomplete surveys, experimental objects broken or destroyed, or data collection/computational errors. This short course will ...
Nature

Imputation methods for serologic biomarkers in inflammatory bowel disease

Serologic biomarkers have emerged as a powerful tool for the diagnosis of Inflammatory Bowel Disease (IBD) and the differentiation between subgroups of IBD. However, missingness in serologic data can ...
Harvard Business School

Multiple Imputation Using Gaussian Copulas

Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative ...
CBS

On Kalman filtering and variances after single and multiple imputation

Using Kalman equations, we derive straightforward formulas for the total imputation variance for several imputation methods commonly used in regression analysis and (un)equal probability sampling ...
San Francisco Fed

Finding Needles in Haystacks: Multiple-Imputation Record Linkage Using Machine Learning

This paper considers the problem of record linkage between a household-level survey and an establishment-level frame in the absence of unique identifiers. Linkage between frames in this setting is ...