title: A better statistical method of predicting postsurgery soft tissue response in Class II patients.
abstract: OBJECTIVE
  To propose a better statistical method of predicting postsurgery soft tissue response in Class II patients.
  
  
  METHODS
  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.
  
  
  RESULTS
  The multivariate PLS method provided a significantly more accurate prediction than the conventional OLS method.
  
  
  CONCLUSIONS
  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.
authors.affiliation: a  Graduate Student, Department of Orthodontics, Seoul National University School of Dentistry & Dental Research Institute, Seoul, Korea.
authors.forename: Ho-Jin
authors.initials: HJ
authors.lastname: Lee
authors.forename: Hee-Yeon
authors.initials: HY
authors.lastname: Suh
authors.forename: Yun-Sik
authors.initials: YS
authors.lastname: Lee
authors.forename: Shin-Jae
authors.initials: SJ
authors.lastname: Lee
authors.forename: Richard E
authors.initials: RE
authors.lastname: Donatelli
authors.forename: Calogero
authors.initials: C
authors.lastname: Dolce
authors.forename: Timothy T
authors.initials: TT
authors.lastname: Wheeler
mesh_terms: D015982:Bias; D002508:Cephalometry / Q000706:statistics & numerical data*; D002680:Chin / Q000473:pathology; D005145:Face; D005146:Facial Asymmetry / Q000601:surgery; D005260:Female; D005544:Forecasting; D063172:Genioplasty / Q000706:statistics & numerical data; D006801:Humans; D016018:Least-Squares Analysis; D008046:Lip / Q000473:pathology; D008297:Male; D008312:Malocclusion, Angle Class II / Q000601:surgery*; D063168:Mandibular Osteotomy / Q000706:statistics & numerical data; D063166:Maxillary Osteotomy / Q000706:statistics & numerical data; D008954:Models, Biological; D015999:Multivariate Analysis; D009666:Nose / Q000473:pathology; D056948:Orthognathic Surgical Procedures / Q000706:statistics & numerical data*; D019340:Osteotomy, Le Fort / Q000706:statistics & numerical data; D059229:Osteotomy, Sagittal Split Ramus / Q000706:statistics & numerical data; D057887:Overbite / Q000601:surgery; D016896:Treatment Outcome; D055815:Young Adult
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