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Direct linkRen, Chunfeng; Shin, Yongyun – Grantee Submission, 2016
In this paper, we analyze a two-level latent variable model for longitudinal data from the National Growth of Health Study where surrogate outcomes or biomarkers and covariates are subject to missingness at any of the levels. A conventional method for efficient handling of missing data is to reexpress the desired model as a joint distribution of…
Descriptors: Longitudinal Studies, Statistical Analysis, Data, Maximum Likelihood Statistics
