Latent class regression: Inference and estimation with two-stage multiple imputation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Harel, Ofer | - |
dc.contributor.author | Chung, Hwan | - |
dc.contributor.author | Miglioretti, Diana | - |
dc.date.accessioned | 2021-09-06T00:28:16Z | - |
dc.date.available | 2021-09-06T00:28:16Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2013-07 | - |
dc.identifier.issn | 0323-3847 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/102931 | - |
dc.description.abstract | Latent class regression (LCR) is a popular method for analyzing multiple categorical outcomes. While nonresponse to the manifest items is a common complication, inferences of LCR can be evaluated using maximum likelihood, multiple imputation, and two-stage multiple imputation. Under similar missing data assumptions, the estimates and variances from all three procedures are quite close. However, multiple imputation and two-stage multiple imputation can provide additional information: estimates for the rates of missing information. The methodology is illustrated using an example from a study on racial and ethnic disparities in breast cancer severity. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY-BLACKWELL | - |
dc.subject | CLASS MODELS | - |
dc.title | Latent class regression: Inference and estimation with two-stage multiple imputation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Hwan | - |
dc.identifier.doi | 10.1002/bimj.201200020 | - |
dc.identifier.scopusid | 2-s2.0-84879997250 | - |
dc.identifier.wosid | 000325887000006 | - |
dc.identifier.bibliographicCitation | BIOMETRICAL JOURNAL, v.55, no.4, pp.541 - 553 | - |
dc.relation.isPartOf | BIOMETRICAL JOURNAL | - |
dc.citation.title | BIOMETRICAL JOURNAL | - |
dc.citation.volume | 55 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 541 | - |
dc.citation.endPage | 553 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | CLASS MODELS | - |
dc.subject.keywordAuthor | Latent class regression | - |
dc.subject.keywordAuthor | Missing data | - |
dc.subject.keywordAuthor | Missing information | - |
dc.subject.keywordAuthor | Multiple imputation | - |
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