Statistical Methods for Complex Dependent Dental Data

复杂相关牙科数据的统计方法

基本信息

批准号：
7077718
负责人：
DAVID TODEM
金额：
$ 10.62万
依托单位：
MICHIGAN STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2005
资助国家：
美国
起止时间：
2005-07-01 至 2008-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7077718
关键词：
clinical research dental caries dental development epidemiology human data mathematical model method development model design /development oral health socioeconomics statistics /biometry

项目摘要

DESCRIPTION (provided by applicant): Despite numerous statistical analyses to assess the pattern of dental caries in primary dentition, there are still some fundamental questions that remain unanswered. As an example, it is well believed among dentist that there are spatial symmetries in the mouth with respect to caries, but this has never been shown in a statistical sense. A unique database that provides detailed tooth-level data with respect to dental caries, which could help answer some of these questions, is the Signal Tandmobiel project in Flanders (Belgium). This proposal is for a very extensive study that comprises both cross-sectional and longitudinal investigations of oral hygiene among Flemish schoolchildren. Its objectives are to assess determinants of oral hygiene among children born in 1989 and to assess the effect of yearly oral hygiene education conducted at randomly selected schools. A tooth-surface level analysis of this data poses a number of difficulties due to inherent spatial association of surfaces in the mouth and repeated measurements generated from the same surface over time. The objective of this proposal is to develop a statistical methodology for secondary analysis of dental caries data generated from this extensive epidemiologic study. Specifically, we propose (1) to develop statistical models for spatial-temporal binary data and develop models for multivariate time-to-event data with applications to dental caries in primary teeth, which will be used to answer questions related to tooth surface susceptibility to caries experience, symmetries in the mouth with respect to dental caries, and differences in surface susceptibility according to caries risk groups; (2) to monitor the quality of the proposed statistical models; and (3) to investigate the influence of the missing data mechanism on the proposed regression models. A key goal of this statistical study is to improve our ability to design, analyze, and interpret complex dependent data generated from clinical trials and epidemiologic studies in dental research.

描述（由申请人提供）：尽管进行了许多统计分析来评估原发性牙齿的龋齿模式，但仍有一些基本问题仍未得到解决。例如，在牙医中，人们非常相信口腔中有空间对称性相对，但这从来没有从统计意义上显示出来。一个独特的数据库，该数据库提供了有关龋齿的详细牙齿级数据，这可以帮助回答其中一些问题，这是Flanders（比利时）的信号TandMobiel项目。该建议是针对一项非常广泛的研究，包括对佛兰芒学童中口腔卫生的横断面和纵向研究。它的目标是评估1989年出生的儿童口腔卫生的决定因素，并评估随机选择的学校进行的年度口腔卫生教育的影响。该数据的牙齿表面水平分析构成了许多困难，这是由于口腔表面的固有空间关联以及随时间时间从同一表面产生的重复测量值。该提案的目的是开发一种统计方法，用于从这项广泛的流行病学研究产生的龋齿数据进行次要分析。具体来说，我们建议（1）开发为空间二进制数据的统计模型，并开发用于多变量的事实数据的模型，并在主要牙齿的龋齿中应用，这些模型将用于回答与龋齿相关的牙齿表面易感性的问题，与牙科龋齿相关的对称性，对牙科龋齿的差异以及依赖于商店的疾病的差异；（2）监视拟议的统计模型的质量；（3）研究缺失数据机制对提出的回归模型的影响。这项统计研究的一个关键目的是提高我们设计，分析和解释牙科研究中临床试验和流行病学研究产生的复杂数据的能力。