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Application of the Pattern-Mixture Latent Trajectory Model in an Epidemiological Study with Non-Ignorable Missingness

In longitudinal studies where the same individuals are followed over time, bias caused by unobserved data raises a serious concern, particularly when the data are missing in a non-ignorable manner. One approach to deal with non-ignorable missing data is a pattern mixture model. In this paper, we com...

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Main Authors: Dodge, Hiroko H., Shen, Changyu, Ganguli, Mary
格式: Artigo
語言:Inglês
出版: 2008
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC2855203/
https://ncbi.nlm.nih.gov/pubmed/20401339
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