Adaptive change-point mixed models applied to data on outpatient tetracycline use in Europe
From MaRDI portal
Publication:4970815
DOI10.1177/1471082X13485404WikidataQ56880790 ScholiaQ56880790MaRDI QIDQ4970815
Philippe Beutels, Marc Aerts, Arno Müller, Ann Versporten, Herman Goossens, Samuel Coenen, Niels Adriaenssens, Girma Minalu, Geert Molenberghs, Niel Hens
Publication date: 7 October 2020
Published in: Statistical Modelling (Search for Journal in Brave)
Uses Software
Cites Work
- Unnamed Item
- Bayesian and profile likelihood change point methods for modeling cognitive function over time
- Consistency of Bayesian procedures for variable selection
- Default Bayesian model determination methods for generalised linear mixed models
- Bayesian model selection of informative hypotheses for repeated measurements
- A STATISTICAL PARADOX
- Penalized loss functions for Bayesian model comparison
- Bayesian Modeling Using WinBUGS
- Hierarchical Bayes Models for the Progression of HIV Infection Using Longitudinal CD4 T-Cell Numbers
- A Bayesian approach to inference about a change-point in a sequence of random variables
- Bayesian Measures of Model Complexity and Fit
- Hierarchical Bayesian Analysis of Changepoint Problems
- Change Points in the Series of T4 Counts Prior to AIDS
- Modelling distortions in seroprevalence data using change-point fractional polynomials
- Random Changepoint Model for Joint Modeling of Cognitive Decline and Dementia
This page was built for publication: Adaptive change-point mixed models applied to data on outpatient tetracycline use in Europe