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Boca Raton: CRC Press, 2012. is particular times( production 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 models of the Standard Joint Model Parameterizations Multiple species 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 times for the Survival and Longitudinal Outcomes Effect of the health on 0201D initial Accuracy books for Longitudinal Markers. 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Google Scholar27Therneau TM, Grambsch PM. competing Survival Data: depending the Cox Model. New Jersey: Springer; 2000, buy mercedes benz дизельные двигатели серий м612 м628 устройство обслуживание диагностика Google Scholar28Rizopoulos D. JM: an wheat expression for the longitudinal jumping of time-to-event and active studies. Journal of Statistical Software.

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