Joint inference for nonlinear mixed-effects models and time to event at the presence of missing data

ISSN： 1465-4644

Source： Biostatistics, Vol.9, Iss.2, 2008-04, pp. : 308-320

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

Constrained inference in mixed-effects models for longitudinal data with application to hearing loss

By Davidov Ori Rosen Sophia

Biostatistics, Vol. 12, Iss. 2, 2011-04 ,pp. : 327-340

Oxford University Press

Access to resources Recommend Favorite

Functional mixed-effects model for periodic data

By Qin Li Guo Wensheng

Biostatistics, Vol. 7, Iss. 2, 2006-04 ,pp. : 225-234

Oxford University Press

Access to resources Recommend Favorite

Joint modelling of longitudinal measurements and event time data

By Henderson R. Diggle P. Dobson A.

Biostatistics, Vol. 1, Iss. 4, 2000-12 ,pp. : 465-480

Oxford University Press

Access to resources Recommend Favorite

Estimating time-to-event from longitudinal ordinal data using random-effects Markov models: application to multiple sclerosis progression

By Mandel Micha Betensky Rebecca A.

Biostatistics, Vol. 9, Iss. 4, 2008-10 ,pp. : 750-764

Oxford University Press

Access to resources Recommend Favorite

Testing multiple variance components in linear mixed-effects models

By Drikvandi Reza Verbeke Geert Khodadadi Ahmad Partovi Nia Vahid

Biostatistics, Vol. 14, Iss. 1, 2013-01 ,pp. : 144-159

Oxford University Press

Access to resources Recommend Favorite