Joint modelling of bivariate longitudinal data with informative dropout and left-censoring, with application to the evolution of CD4+ cell count and HIV RNA viral load in response to treatment of HIV infection.

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Bibliographic Details
Title: Joint modelling of bivariate longitudinal data with informative dropout and left-censoring, with application to the evolution of CD4+ cell count and HIV RNA viral load in response to treatment of HIV infection.
Authors: Thiébaut, Rodolphe1, Jacqmin-Gadda, Hélène1, Babiker, Abdel2, Commenges, Daniel1, Thiébaut, Rodolphe3 (AUTHOR), Jacqmin-Gadda, Hélène (AUTHOR), CASCADE Collaboration (CORPORATE AUTHOR)
Source: Statistics in Medicine. Jan2005, Vol. 24 Issue 1, p65-82. 18p.
Database: Academic Search Ultimate
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