A better statistical method of predicting post-surgery soft tissue response in Class II patients

Orthognathic surgery;Class II;Multivariate PLS prediction;617

치과대학 치의과학과 ;

University:서울대학교 대학원

关键词: Orthognathic surgery;    Class II;    Multivariate PLS prediction;    617;   

Others  :  http://s-space.snu.ac.kr/bitstream/10371/131129/1/000000018102.pdf

美国|英语

来源: Seoul National University Open Repository

【 摘 要 】

ObjectivesTo propose a better statistical method of predicting post-surgery soft tissue response in Class II patients.MethodsThe subjects are comprised of 80 patients who had undergone the surgical correction of severe Class II malocclusions. Using 228 predictor and 64 soft tissue response variables, two multivariate methods of forming prediction equations, the conventional ordinary least squares (OLS) method and the partial least squares (PLS) method, were applied. After fitting the equation, the bias and a mean absolute prediction error were calculated. To evaluate the predictive performance of the prediction equations, a leave-one-out cross-validation method was used.ResultsThe multivariate PLS method provided a significantly more accurate prediction than the conventional OLS method. The multivariate PLS method was more satisfactory than the OLS method in accurately predicting the soft tissue profile change after surgical correction of severe Class II malocclusions.