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Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data

Growth mixture models (GMMs) with nonignorable missing data have drawn increasing attention in research communities but have not been fully studied. The goal of this article is to propose and to evaluate a Bayesian method to estimate the GMMs with latent class dependent missing data. An extended GMM...

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מידע ביבליוגרפי
Main Authors: Lu, Zhenqiu Laura, Zhang, Zhiyong, Lubke, Gitta
פורמט: Artigo
שפה:Inglês
יצא לאור: 2011
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC4002129/
https://ncbi.nlm.nih.gov/pubmed/24790248
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00273171.2011.589261
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