A better statistical method of predicting postsurgery soft tissue response in Class II patients

To propose a better statistical method of predicting postsurgery soft tissue response in Class II patients. The subjects comprise 80 patients who had undergone surgical correction of severe Class II malocclusions. Using 228 predictor and 64 soft tissue response variables, we applied two multivariate...

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Bibliographic Details
Published in:The Angle orthodontist 2014-03, Vol.84 (2), p.322-328
Main Authors: Lee, Ho-Jin, Suh, Hee-Yeon, Lee, Yun-Sik, Lee, Shin-Jae, Donatelli, Richard E, Dolce, Calogero, Wheeler, Timothy T
Format: Article
Language:English
Subjects:
Bias
Cephalometry - statistics & numerical data
Chin - pathology
Face
Facial Asymmetry - surgery
Female
Forecasting
Genioplasty - statistics & numerical data
Humans
Least-Squares Analysis
Lip - pathology
Male
Malocclusion, Angle Class II - surgery
Mandibular Osteotomy - statistics & numerical data
Maxillary Osteotomy - statistics & numerical data
Models, Biological
Multivariate Analysis
Nose - pathology
Original
Orthognathic Surgical Procedures - statistics & numerical data
Osteotomy, Le Fort - statistics & numerical data
Osteotomy, Sagittal Split Ramus - statistics & numerical data
Overbite - surgery
Treatment Outcome
Young Adult
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Summary:To propose a better statistical method of predicting postsurgery soft tissue response in Class II patients. The subjects comprise 80 patients who had undergone surgical correction of severe Class II malocclusions. Using 228 predictor and 64 soft tissue response variables, we applied two multivariate methods of forming prediction equations, the conventional ordinary least squares (OLS) method and the partial least squares (PLS) method. 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. The 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.
ISSN:0003-3219
1945-7103
DOI:10.2319/050313-338.1