Thiébaut, Rodolphe <br/><br/>
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.  [electronic resource] 

 -  Statistics in medicine  Jan 2005 
 - 65-82 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>0277-6715 
<br/><br/><label>Standard No.: </label>10.1002/sim.1923  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Anti-HIV Agents--therapeutic use<br/>Antiretroviral Therapy, Highly Active--standards<br/>CD4 Lymphocyte Count<br/>Cohort Studies<br/>HIV Infections--drug therapy<br/>HIV-1--genetics<br/>Humans<br/>Longitudinal Studies<br/>Models, Biological<br/>Models, Statistical<br/>Patient Dropouts<br/>RNA, Viral--blood<br/>Substance Abuse, Intravenous<br/>Viral Load