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Random Change-Point Non-linear Mixed Effects Model for left-censored longitudinal data: An application to HIV

Binod Manandhar1, Hongbin Zhang1

  • 1City University of New York, Graduate School of Public Health, 55 W 125th St,New York, NY 10027.

Proceedings. American Statistical Association. Annual Meeting
|June 10, 2024
PubMed

Keywords:
Antiretroviral therapyCensored dataChange-pointExpectation maximizationLongitudinal dataMetropolis-Hastings samplerMixed-effect modelStochastic approximation

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