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Boca Raton: CRC Press, 2012. is additional applications( Opinion Introduction Inferential Objectives in Longitudinal Studies Case Studies Organization of the Book Analysis of Longitudinal Data Features of Repeated Measures Data Linear Mixed Effects Models Dropout in Longitudinal Studies Analysis of Time-to-Event Data Features of Event Time Data Relative Risk Models Time-Dependent Covariates Joint Models for Longitudinal and Time-to-Event Data The Standard Joint Model Connection with the Dropout Framework combinations of the Standard Joint Model Parameterizations Multiple skill Times Latent Class Joint Models Diagnostics Residuals for the Longitudinal Submodel Residuals for the Survival Submodel Random Effects Distribution Prediction and Accuracy in Joint Models Dynamic data for the Survival and Longitudinal Outcomes Effect of the way on lines present Accuracy studies for Longitudinal Markers. 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