Varying-coefficient models for longitudinal processes with continuous-time informative dropout

ISSN： 1465-4644

Source： Biostatistics, Vol.11, Iss.1, 2010-01, pp. : 93-110

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

A marginalized conditional linear model for longitudinal binary data when informative dropout occurs in continuous time

By Su Li

Biostatistics, Vol. 13, Iss. 2, 2012-04 ,pp. : 355-368

Oxford University Press

Access to resources Recommend Favorite

The relationship between virologic and immunologic responses in AIDS clinical research using mixed-effects varying-coefficient models with measurement error

By Wu H.

Biostatistics, Vol. 4, Iss. 2, 2003-04 ,pp. : 297-312

Oxford University Press

Access to resources Recommend Favorite

Covariate-adjusted varying coefficient models

By Şentürk Damla

Biostatistics, Vol. 7, Iss. 2, 2006-04 ,pp. : 235-251

Oxford University Press

Access to resources Recommend Favorite

On outcome-dependent sampling designs for longitudinal binary response data with time-varying covariates

By Schildcrout Jonathan S. Heagerty Patrick J.

Biostatistics, Vol. 9, Iss. 4, 2008-10 ,pp. : 735-749

Oxford University Press

Access to resources Recommend Favorite

Effects of imaging gradients in sequences with varying longitudinal storage time—Case of diffusion exchange imaging

MAGNETIC RESONANCE IN MEDICINE, Vol. 79, Iss. 4, 2018-04 ,pp. : 2228-2235

John Wiley & Sons Inc

Access to resources Recommend Favorite