Application of Pattern Mixture Models to Address Missing Dat…
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- DOI 10.1097/nnr.0b013e3182541d8c
- PMID https://pubmed.ncbi.nlm.nih.gov/22551994
- OpenAlex ID W2010675113
- Type Article
- Language EN
- Published 01 May 2012
- Volume 61 (3)
- Pages 195–203
- Source Nursing Research
- Publisher Lippincott Williams & Wilkins
- FWCI 2.14
- Countries 1
- Institutions 2
- Added 24 Jun 2016
- Updated 12 Oct 2026
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Application of Pattern Mixture Models to Address Missing Data in Longitudinal Data Analysis Using SPSS
Article 2012 EN
BACKGROUND: Longitudinal studies are used in nursing research to examine changes over time in health indicators. Traditional approaches to longitudinal analysis of means, such as analysis of variance with repeated measures, are limited to analyzing complete cases. This limitation can lead to biased results due to withdrawal or data omission bias or to imputation of missing data, which can lead to…
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3 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Heesook Son | University of Maryland, Baltim… (US) George Washington University (US) | |
| 2 | Erika Friedmann | University of Maryland, Baltim… (US) George Washington University (US) | |
| 3 | Sue Ann Thomas | University of Maryland, Baltim… (US) George Washington University (US) |
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