A class of joint models for multivariate longitudinal measurements and a binary event

Publisher： John Wiley & Sons Inc

E-ISSN： 1541-0420|72|3|917-925

ISSN： 0006-341x

Source： BIOMETRICS, Vol.72, Iss.3, 2016-09, pp. : 917-925

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks

By Blanche Paul   Proust-Lima Cécile   Loubère Lucie   Berr Claudine   Dartigues Jean-François   Jacqmin-Gadda Hélène  

Biometrics, Vol. 71, Iss. 1, 2015-03 ,pp. : 102-113

Wiley-Blackwell

Access to resources Recommend Favorite

Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time‐to‐event in presence of censoring and competing risks

By  

BIOMETRICS, Vol. 71, Iss. 1, 2015-03 ,pp. : 102-113

John Wiley & Sons Inc

Access to resources Recommend Favorite

Multivariate longitudinal data analysis with mixed effects hidden Markov models

By Raffa Jesse D.   Dubin Joel A.  

Biometrics, Vol. 71, Iss. 3, 2015-09 ,pp. : 821-831

Wiley-Blackwell

Access to resources Recommend Favorite

Multivariate longitudinal data analysis with mixed effects hidden Markov models

By  

BIOMETRICS, Vol. 71, Iss. 3, 2015-09 ,pp. : 821-831

John Wiley & Sons Inc

Access to resources Recommend Favorite

Joint frailty models for zero‐inflated recurrent events in the presence of a terminal event

By  

BIOMETRICS, Vol. 72, Iss. 1, 2016-03 ,pp. : 204-214

John Wiley & Sons Inc

Access to resources Recommend Favorite