APA (7th ed.) Citation

Thiébaut, R., Jacqmin-Gadda, H., Babiker, A., Commenges, D., & Collaboration, C. (2005). 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. Statistics in Medicine, 24(1), 65. https://doi.org/10.1002/sim.1923

Chicago Style (17th ed.) Citation

Thiébaut, Rodolphe, Hélène Jacqmin-Gadda, Abdel Babiker, Daniel Commenges, and CASCADE Collaboration. "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." Statistics in Medicine 24, no. 1 (2005): 65. https://doi.org/10.1002/sim.1923.

MLA (9th ed.) Citation

Thiébaut, Rodolphe, et al. "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." Statistics in Medicine, vol. 24, no. 1, 2005, p. 65, https://doi.org/10.1002/sim.1923.