Nonlinear mixed-effects models for HIV viral load trajectories before and after antiretroviral therapy interruption, incorporating left censoring.

Sihaoyu GaoLang WuTingting YuRoger KouyosHuldrych F Gunthard Rui Wang

Published in: Statistical communications in infectious diseases (2022)

The proposed three-step method works well. We have shown that key features of viral decay during ART may be associated with important features of viral rebound following ART interruption.

Keyphrases

antiretroviral therapy
hiv infected
hiv positive
human immunodeficiency virus
hiv infected patients
hiv aids
sars cov
depressive symptoms
neural network