Modelling of viral load dynamics and CD4 cell count progression in an antiretroviral naive cohort: using a joint linear mixed and multistate Markov model

Modelling of viral load dynamics and CD4 cell count progression in an antiretroviral naive cohort: using a joint linear mixed and multistate Markov model

Abstract Background Patients infected with HIV may experience a succession of clinical stages before the disease diagnosis and their health status may be followed-up by tracking disease biomarkers. In this study, we present a joint multistate model for predicting the clinical progression of HIV infe...

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Bibliographic Details
Main Authors: Zelalem G. Dessie, Temesgen Zewotir, Henry Mwambi, Delia North
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Infectious Diseases
Subjects:
Factor analysis
Latent variables
Mixed effect model
Multistate model
Quality of life
Online Access:http://link.springer.com/article/10.1186/s12879-020-04972-1

Internet

http://link.springer.com/article/10.1186/s12879-020-04972-1

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