biostudies-literatureWardrop RCNCBDD CDC HHSCenters for Disease Control and PreventionIntramural CDC HHS262-280https://www.ebi.ac.uk/biostudies/studies/S-EPMC11328645biostudies-literatureUnknown9(2)This study combines data from five studies in a quantitative modeling approach to improve identification of tics and tic disorders using two questionnaires (the Motor or Vocal Inventory of Tics and the Description of Tic Symptoms), administered to parents and children N=1,307 . Combining final diagnoses (positive or negative for tic disorder) with data from recently developed questionnaires implemented to assist in the identification of tics and tic disorders in children, we investigate methods for predicting positive diagnosis while also identifying which items in the questionnaires are most predictive. Logistic regression and random forest models are compared using various summary statistics. We further discuss the differences in errors (false positives versus false negatives) in the speEvidence-based practice in child and adolescent mental healthImproving Identification of Tic Disorders in Children.PMC11328645CC999999U19 DD001218Adams HRCai BLewin ABDanielson MLWardrop RCBitsko RHVermilion JACuffe SPHardin JWfalseImproving Identification of Tic Disorders in Children.This study combines data from five studies in a quantitative modeling approach to improve identification of tics and tic disorders using two questionnaires (the Motor or Vocal Inventory of Tics and the Description of Tic Symptoms), administered to parents and children N=1,307 . Combining final diagnoses (positive or negative for tic disorder) with data from recently developed questionnaires implemented to assist in the identification of tics and tic disorders in children, we investigate methods for predicting positive diagnosis while also identifying which items in the questionnaires are most predictive. Logistic regression and random forest models are compared using various summary statistics. We further discuss the differences in errors (false positives versus false negatives) in the spe2024-01-01T00:00:00Z2024 Mar2025-04-21T16:51:32.413Z2025-04-21T16:51:32.413ZS-EPMC113286453915729710.1080/23794925.2024.2324775