Improving teeth aesthetics using a spatially shared-parameters model for independent regular lattices

DOI10.1080/02664763.2020.1724273OpenAlexW3005038390MaRDI QIDQ5861507

José João Mendes, Inês Lopes, Jorge Caldeira, Rui Paulo Martins

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1724273

zbMATH Keywords

spatial modelindependent latticesR-NIMBLEshared varianceteeth glossteeth roughness

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Applications of statistics (62Pxx)

Uses Software

• WinBUGS
• CARBayesST
• nimble

Cites Work

• Unnamed Item
• Unnamed Item
• Understanding predictive information criteria for Bayesian models
• Scale-dependent priors for variance parameters in structured additive distributional regression
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• A model for analyzing spatially correlated binary data clustered in uncorrelated lattices
• A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness
• Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splines
• Estimation and Comparison of Changes in the Presence of Informative Right Censoring by Modeling the Censoring Process
• Regression
• Bayesian Disease Mapping
• A joint survival-longitudinal modelling approach for the dynamic prediction of rehospitalization in telemonitored chronic heart failure patients
• Oral health research: A source for innovative new statistical developments
• A Bayesian Joint Dispersion Model with Flexible Links
• Spatial Analyses of Periodontal Data Using Conditionally Autoregressive Priors Having Two Classes of Neighbor Relations
• Joint modelling of longitudinal measurements and event time data
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
• Dynamic prediction of mortality among patients in intensive care using the sequential organ failure assessment (SOFA) score: a joint competing risk survival and longitudinal modeling approach

This page was built for publication: Improving teeth aesthetics using a spatially shared-parameters model for independent regular lattices