📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data. (2014)

First Author: Welch CA

Attributed to: Analysis of realistically complex data with missing observations funded by ESRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/sim.6184

PubMed Identifier: 24782349

Publication URI: http://europepmc.org/abstract/MED/24782349

Type: Journal Article/Review

Volume: 33

Parent Publication: Statistics in medicine

Issue: 21

ISSN: 0277-6715