Multiple imputation validation study: addressing unmeasured survey data in a longitudinal design
Multiple imputation validation study: addressing unmeasured survey data in a longitudinal design
About this item
Full title
Author / Creator
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
Questionnaires used in longitudinal studies may have questions added or removed over time for numerous reasons. Data missing completely at a follow-up survey is a unique issue for longitudinal studies. While such excluded questions lack information at one follow-up survey, they are collected at other follow-up surveys, and covariances observed at o...
Alternative Titles
Full title
Multiple imputation validation study: addressing unmeasured survey data in a longitudinal design
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b5d92851b1964b46badb3ae0ff638c0d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b5d92851b1964b46badb3ae0ff638c0d
Other Identifiers
ISSN
1471-2288
E-ISSN
1471-2288
DOI
10.1186/s12874-020-01158-w
