Reading Profiles in Multi-Site Data With Missingness.

ABSTRACT: Children with reading disability exhibit varied deficits in reading and cognitive abilities that contribute to their reading comprehension problems. Some children exhibit primary deficits in phonological processing, while others can exhibit deficits in oral language and executive functions that affect comprehension. This behavioral heterogeneity is problematic when missing data prevent the characterization of different reading profiles, which often occurs in retrospective data sharing initiatives without coordinated data collection. Here we show that reading profiles can be reliably identified based on Random Forest classification of incomplete behavioral datasets, after the missForest method is used to multiply impute missing values. Results from simulation analyses showed that reading pr

SUBMITTER: Eckert MA 

PROVIDER: S-EPMC5952106 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature