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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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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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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 63564378
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: 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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  Data: <searchLink fieldCode="JN" term="%22Statistics+in+Medicine%22">Statistics in Medicine</searchLink>. Jan2005, Vol. 24 Issue 1, p65-82. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=63564378
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        Value: 10.1002/sim.1923
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        Text: English
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        PageCount: 18
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      – TitleFull: 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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              Text: Jan2005
              Type: published
              Y: 2005
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            – TitleFull: Statistics in Medicine
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