Modeling of the HIV infection epidemic in the Netherlands: a multi-parameter evidence synthesis approach
DOI10.1214/11-AOAS488zbMath1234.62140arXiv1202.5901WikidataQ57385693 ScholiaQ57385693MaRDI QIDQ765976
Maria Xiridou, Maaike G. Van Veen, Stefano Conti, Daniela De Angelis, Anne M. Presanis, Martin C. Donoghoe, Annemarie Rinder Stengaard
Publication date: 22 March 2012
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1202.5901
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Medical epidemiology (92C60)
Related Items (3)
Uses Software
Cites Work
- Modeling of the HIV infection epidemic in the Netherlands: a multi-parameter evidence synthesis approach
- Probabilistic projections of HIV prevalence using Bayesian melding
- Inference from iterative simulation using multiple sequences
- Adjusted likelihoods for synthesizing empirical evidence from studies that differ in quality and design: effects of environmental tobacco smoke
- Estimating and Projecting Trends in HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling
- Bayesian evidence synthesis for a transmission dynamic model for HIV among men who have sex with men
- Decision Theory
- A Method for Obtaining Short-Term Projections and Lower Bounds on the Size of the AIDS Epidemic
- Inference for Deterministic Simulation Models: The Bayesian Melding Approach
- Bayesian Measures of Model Complexity and Fit
- SEQUENTIAL METHODS IN CLINICAL TRIALS*
- The Bayesian Choice
- Model Evaluation and Spatial Interpolation by Bayesian Combination of Observations with Outputs from Numerical Models
- A Model of Toxoplasmosis Incidence in the UK: Evidence Synthesis and Consistency of Evidence
This page was built for publication: Modeling of the HIV infection epidemic in the Netherlands: a multi-parameter evidence synthesis approach