Oral health research: A source for innovative new statistical developments
From MaRDI portal
Publication:4971004
DOI10.1177/1471082X14535479MaRDI QIDQ4971004
Dominique Declerck, Emmanuel Lesaffre
Publication date: 8 October 2020
Published in: Statistical Modelling (Search for Journal in Brave)
count datacorrelated datamisclassificationinterval-censoringmultilevel modellingagreement measurescaries experienceemergence of teeth
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Conditional independence of multivariate binary data with an application in caries research
- Asymptotic variance estimation for the misclassification SIMEX
- BITE: a Bayesian intensity estimator
- Statistical and Methodological Aspects of Oral Health Research
- An overview of methods for interval-censored data with an emphasis on applications in dentistry
- The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research
- Bayesian Accelerated Failure Time Model With Multivariate Doubly Interval-Censored Data and Flexible Distributional Assumptions
- Modeling of Multivariate Monotone Disease Processes in the Presence of Misclassification
- Analyzing the emergence times of permanent teeth: an example of modeling the covariance matrix with interval-censored data
- On the estimation of the misclassification table for finite count data with an application in caries research
- The regression analysis of correlated interval-censored data
- A Bayesian analysis of multivariate doubly-interval-censored dental data
- A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX
- A Bayesian Ordinal Logistic Regression Model to Correct for Interobserver Measurement Error in a Geographical Oral Health Study
This page was built for publication: Oral health research: A source for innovative new statistical developments
