Challenges in Dental Statistics: Data and Modelling

<p>The aim of this work is to present the reflections and proposals derived from the first Workshop of the SISMEC STATDENT working group on statistical methods and applications in dentistry, held in Ancona (Italy) on 28<sup>th</sup> September 2011. STATDENT began as a forum of comp...

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Main Authors: Domenica Matranga, Paolo Castiglia, Giuliana Solinas
Format: Article
Language:English
Published: Milano University Press 2013-03-01
Series:Epidemiology, Biostatistics and Public Health
Online Access:http://ebph.it/article/view/8759
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author Domenica Matranga
Paolo Castiglia
Giuliana Solinas
author_facet Domenica Matranga
Paolo Castiglia
Giuliana Solinas
author_sort Domenica Matranga
collection DOAJ
description <p>The aim of this work is to present the reflections and proposals derived from the first Workshop of the SISMEC STATDENT working group on statistical methods and applications in dentistry, held in Ancona (Italy) on 28<sup>th</sup> September 2011. STATDENT began as a forum of comparison and discussion for statisticians working in the field of dental research in order to suggest new and improve existing biostatistical and clinical epidemiological methods. During the meeting, we dealt with very important topics of statistical methodology for the analysis of dental data, covering the analysis of hierarchically structured and over-dispersed data, the issue of calibration and reproducibility, as well as some problems related to survey methodology, such as the design and construction of unbiased statistical indicators and of well conducted clinical trials. This paper gathers some of the methodological topics discussed during the meeting, concerning multilevel and zero-inflated models for the analysis of caries data and methods for the training and calibration of raters in dental epidemiology.</p>
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series Epidemiology, Biostatistics and Public Health
spelling doaj-art-fb22475700fa431082fdbd3f2cbb46bf2025-08-20T01:55:05ZengMilano University PressEpidemiology, Biostatistics and Public Health2282-09302013-03-0110110.2427/87598478Challenges in Dental Statistics: Data and ModellingDomenica Matranga0Paolo Castiglia1Giuliana Solinas2Department of Sciences for Health Promotion and Mother and Child Care, University of Palermo, Palermo, ItalyDepartment of Biomedical Science, University of Sassari, Sassari, ItalyDipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari<p>The aim of this work is to present the reflections and proposals derived from the first Workshop of the SISMEC STATDENT working group on statistical methods and applications in dentistry, held in Ancona (Italy) on 28<sup>th</sup> September 2011. STATDENT began as a forum of comparison and discussion for statisticians working in the field of dental research in order to suggest new and improve existing biostatistical and clinical epidemiological methods. During the meeting, we dealt with very important topics of statistical methodology for the analysis of dental data, covering the analysis of hierarchically structured and over-dispersed data, the issue of calibration and reproducibility, as well as some problems related to survey methodology, such as the design and construction of unbiased statistical indicators and of well conducted clinical trials. This paper gathers some of the methodological topics discussed during the meeting, concerning multilevel and zero-inflated models for the analysis of caries data and methods for the training and calibration of raters in dental epidemiology.</p>http://ebph.it/article/view/8759
spellingShingle Domenica Matranga
Paolo Castiglia
Giuliana Solinas
Challenges in Dental Statistics: Data and Modelling
Epidemiology, Biostatistics and Public Health
title Challenges in Dental Statistics: Data and Modelling
title_full Challenges in Dental Statistics: Data and Modelling
title_fullStr Challenges in Dental Statistics: Data and Modelling
title_full_unstemmed Challenges in Dental Statistics: Data and Modelling
title_short Challenges in Dental Statistics: Data and Modelling
title_sort challenges in dental statistics data and modelling
url http://ebph.it/article/view/8759
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AT paolocastiglia challengesindentalstatisticsdataandmodelling
AT giulianasolinas challengesindentalstatisticsdataandmodelling