Gilthorpe M S, Zamzuri A T, Griffiths G S, Maddick I H, Eaton K A, Johnson N W
Biostatistics Unit, Academic Unit of Epidemiology and Health Services Research, Medical School, University of Leeds, 24 Hyde Terrace, Leeds, LS2 9LN, UK.
J Dent Res. 2003 Mar;82(3):200-5. doi: 10.1177/154405910308200310.
Previously, burst and linear theories for periodontal disease progression were proposed based on different but limited statistical methods of analysis. Multilevel modeling provides a new approach, yielding a more comprehensive model. Random coefficient models were used to analyze longitudinal periodontal data consisting of repeated measures (level 1), sites (level 2), teeth (level 3), and subjects (level 4). Large negative and highly significant correlations between random linear and quadratic time coefficients indicated that subjects and teeth with greater-than-average linear change experienced decelerated variation. Conversely, subjects and teeth with less-than-average linear change experienced accelerated variation. Change therefore exhibited a dynamic regression to the mean at the tooth and subject levels. Since no equilibrium was attained throughout the study, changes were cyclical. When considered as a multilevel system, the "linear" and "burst" theories of periodontal disease progression are a manifestation of the same phenomenon: Some sites improve while others progress, in a cyclical manner.
以前,基于不同但有限的统计分析方法,提出了牙周疾病进展的爆发理论和线性理论。多层次建模提供了一种新方法,产生了一个更全面的模型。随机系数模型用于分析纵向牙周数据,这些数据由重复测量(第1级)、部位(第2级)、牙齿(第3级)和受试者(第4级)组成。随机线性和二次时间系数之间存在大的负相关且高度显著,这表明线性变化大于平均水平的受试者和牙齿经历了减速变化。相反,线性变化小于平均水平的受试者和牙齿经历了加速变化。因此,变化在牙齿和受试者水平上表现出向均值的动态回归。由于在整个研究过程中未达到平衡,变化是周期性的。当被视为一个多层次系统时,牙周疾病进展的“线性”和“爆发”理论是同一现象的表现:一些部位改善而另一些部位进展,呈周期性。