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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）：尽管有许多统计分析来评估乳牙列中龋齿的模式，但仍有一些基本问题尚未得到解答。作为一个例子，牙医们普遍认为，口腔中的龋齿存在空间对称性，但这从未在统计学意义上得到证明。弗兰德斯（比利时）的Signal Tandmobiel项目是一个独特的数据库，提供了有关龋齿的详细牙齿水平数据，这可能有助于回答其中的一些问题。这项建议是一项非常广泛的研究，包括佛兰德学童口腔卫生的横向和纵向调查。其目的是评估1989年出生的儿童口腔卫生的决定因素，并评估在随机选择的学校进行的年度口腔卫生教育的效果。由于口腔中表面的固有空间关联和随着时间的推移从同一表面产生的重复测量，对该数据的牙齿表面水平分析造成了许多困难。本提案的目的是开发一种统计方法，用于对这项广泛的流行病学研究产生的龋齿数据进行二次分析。具体而言，我们建议（1）开发时空二进制数据的统计模型和开发应用于乳牙龋齿的多变量时间-事件数据的模型，这将用于回答与龋齿经历的牙齿表面易感性、口腔中关于龋齿的对称性以及根据龋齿风险组的表面易感性差异相关的问题;（2）监察建议的统计模型的质素;及（3）调查缺失数据机制对建议的回归模型的影响。这项统计研究的一个关键目标是提高我们设计、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相关数据的能力。