Statistical Methods for Complex Dependent Dental Data

复杂相关牙科数据的统计方法

• 批准号: 6907997
• 负责人: DAVID TODEM
• 金额: $ 10.92万
• 依托单位: MICHIGAN STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2007-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6907997
• 关键词: clinical research; dental caries; dental development; epidemiology; human data; mathematical model; method development; model design /development; oral health; socioeconomics; statistics /biometry

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）：尽管进行了大量的统计分析来评估乳牙列中的龋齿模式，但仍有一些基本问题尚未得到解答。例如，牙医普遍认为口腔中的龋齿存在空间对称性，但这从未在统计意义上得到证明。佛兰德斯（比利时）的 Signal Tandmobiel 项目是一个独特的数据库，它提供了有关龋齿的详细牙齿水平数据，可以帮助回答其中一些问题。该提案是一项非常广泛的研究，包括对佛兰德学童口腔卫生的横断面和纵向调查。其目标是评估 1989 年出生儿童口腔卫生的决定因素，并评估随机选择的学校每年进行口腔卫生教育的效果。由于口腔中表面固有的空间关联以及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带来了许多困难。该提案的目的是开发一种统计方法，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。具体来说，我们建议（1）开发时空二元数据的统计模型，并开发适用于乳牙龋齿的多元事件时间数据模型，这将用于回答与牙齿表面对龋齿的易感性、口腔中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) 监控所提出的统计模型的质量； （3）研究缺失数据机制对所提出的回归模型的影响。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的临床试验和流行病学研究生成的复杂相关数据的能力。