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Direct linkMuthen, Bengt; Asparouhov, Tihomir; Hunter, Aimee M.; Leuchter, Andrew F. – Psychological Methods, 2011
This article uses a general latent variable framework to study a series of models for nonignorable missingness due to dropout. Nonignorable missing data modeling acknowledges that missingness may depend not only on covariates and observed outcomes at previous time points as with the standard missing at random assumption, but also on latent…
Descriptors: Structural Equation Models, Depression (Psychology), Models, Trend Analysis
