Improving Identification of Tic Disorders in Children.

ABSTRACT: 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 spe

SUBMITTER: Wardrop RC 

PROVIDER: S-EPMC11328645 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature