Inference in HIV dynamics models via hierarchical likelihood

DOI10.1016/j.csda.2010.05.012zbMath1247.92030arXiv1002.0425OpenAlexW2053634017MaRDI QIDQ452606

Julia Drylewicz, Rodolphe Thiébaut, Hein Putter, Daniel Commenges, Danaelle Jolly

Publication date: 15 September 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1002.0425

zbMATH Keywords

algorithmasymptoticsdifferential equationspenalized likelihoodh-likelihoodHIV dynamics modelsnon-linear mixed effects model

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bootstrap, jackknife and other resampling methods (62F40) Ordinary differential equations and systems with randomness (34F05)

Related Items (5)

Identifiability analysis of linear ordinary differential equation systems with a single trajectory ⋮ A combined overdispersed and marginalized multilevel model ⋮ Statistical models: conventional, penalized and hierarchical likelihood ⋮ New approaches for censored longitudinal data in joint modelling of longitudinal and survival data, with application to HIV vaccine studies ⋮ Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach

Uses Software

• bootstrap

Cites Work

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