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For: Lix LM, Ayilara O. Latent variable mixture models to address heterogeneity in patient-reported outcome data. Methods 2022;204:151-159. [DOI: 10.1016/j.ymeth.2022.03.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 03/04/2022] [Accepted: 03/17/2022] [Indexed: 12/25/2022]  Open
Number Cited by Other Article(s)
1
Proust-Lima C, Sébille V. Recent developments for the analysis of latent constructs using measurement scales in health research. Methods 2022;205:232-233. [PMID: 35907604 DOI: 10.1016/j.ymeth.2022.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]  Open
2
Ayilara OF, Sajobi TT, Barclay R, Jafari Jozani M, Lix LM. Estimating longitudinal change in latent variable means: a comparison of non-negative matrix factorization and other item non-response methods. J STAT COMPUT SIM 2022. [DOI: 10.1080/00949655.2022.2098499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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