Literature DB >> 15618533

A Bayesian analysis of multivariate doubly-interval-censored dental data.

Arnost Komárek1, Emmanuel Lesaffre, Tommi Härkänen, Dominique Declerck, Jorma I Virtanen.   

Abstract

A Bayesian survival analysis is presented to examine the effect of fluoride-intake on the time to caries development of the permanent first molars in children between 7 and 12 years of age using a longitudinal study conducted in Flanders. Three problems needed to be addressed. Firstly, since the emergence time of a tooth and the time it experiences caries were recorded yearly, the time to caries is doubly interval censored. Secondly, due to the setup of the study, many emergence times were left-censored. Thirdly, events on teeth of the same child are dependent. Our Bayesian analysis is a modified version of the intensity model of Harkanen et al. (2000, Scandinavian Journal of Statistics 27, 577-588). To tackle the problem of the large number of left-censored observations a similar Finnish data set was introduced. Our analysis shows no convincing effect of fluoride-intake on caries development.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15618533     DOI: 10.1093/biostatistics/kxh023

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  5 in total

1.  Application of Bayesian classifier for the diagnosis of dental pain.

Authors:  Subhagata Chattopadhyay; Rima M Davis; Daphne D Menezes; Gautam Singh; Rajendra U Acharya; Toshio Tamura
Journal:  J Med Syst       Date:  2010-10-13       Impact factor: 4.460

Review 2.  A critique of recent economic evaluations of community water fluoridation.

Authors:  Lee Ko; Kathleen M Thiessen
Journal:  Int J Occup Environ Health       Date:  2014-12-03

3.  A Bayesian MCMC approach to survival analysis with doubly-censored data.

Authors:  Binbing Yu
Journal:  Comput Stat Data Anal       Date:  2010-08-01       Impact factor: 1.681

4.  A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects.

Authors:  Volkmar Henschel; Jutta Engel; Dieter Hölzel; Ulrich Mansmann
Journal:  BMC Med Res Methodol       Date:  2009-02-10       Impact factor: 4.615

5.  Parameter estimation of the incubation period of COVID-19 based on the doubly interval-censored data model.

Authors:  Ming-Ze Yin; Qing-Wen Zhu; Xing Lü
Journal:  Nonlinear Dyn       Date:  2021-06-18       Impact factor: 5.022

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.