37: Stochastic EM for Multistate Models of HIV Progression with Interval-Censored longitudinal data

Music City Center 

The International Epidemiology Databases to Evaluate AIDS (IeDEA) is a global research consortium that provides extensive HIV/AIDS data worldwide. In this study, we propose multistate models (MSMs) to characterize HIV progression across clinical stages while addressing data complexities, including interval-censored and clustered event history data where we propose a Stochastic Expectation-Maximization (Stochastic EM) algorithm to reduce computation intensity. We use simulation to evaluate the performance of these proposed methods and apply the method to Central-Africa IeDEA data to evaluate the impact of the World Health Organization's 2015 Treat-All Policy.

Stochastic EM

multistate model

interval-censored data

random effects

Treat-All policy

IeDEA 

Section on Statistics in Epidemiology