Treatment Monitoring of HIV‐Infected Patients based on Mechanistic Models

DOI10.1111/j.1541-0420.2012.01749.xzbMath1272.62079OpenAlexW1982897277WikidataQ44581468 ScholiaQ44581468MaRDI QIDQ4649071

Daniel Commenges, Rodolphe Thiébaut, Julia Drylewicz, Mélanie Prague

Publication date: 19 November 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://hal.inria.fr/hal-01579531/file/TreatMonitor_Prague-Commenges.pdf

zbMATH Keywords

optimal controlBayesdifferential equationsHIVepidemiologyMetropolis-Hastings algorithmmonitoring

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

The stochastic system approach for estimating dynamic treatments effect ⋮ Dynamic models for estimating the effect of HAART on CD4 in observational studies: Application to the Aquitaine Cohort and the Swiss HIV Cohort Study ⋮ Evaluating the use of generalized dynamic weighted ordinary least squares for individualized HIV treatment strategies ⋮ Dealing with death when studying disease or physiological marker: the stochastic system approach to causality

Cites Work

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• Hierarchical Bayesian inference for HIV dynamic differential equation models incorporating multiple treatment factors
• Asymptotic Statistics
• Optimal Dynamic Treatment Regimes
• Bivariate Longitudinal Model For The Analysis Of The Evolution Of Hiv Rna And Cd4 Cell Count In Hiv Infection Taking Into Account Left Censoring Of Hiv Rna Measures
• Statistical methods for HIV dynamic studies in AIDS clinical trials
• Maximum Likelihood Estimation in Dynamical Models of HIV
• Demystifying Optimal Dynamic Treatment Regimes
• Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System
• Analysis of left-censored longitudinal data with application to viral load in HIV infection
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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