Using the PDD Behavior Inventory as a Level 2 Screener: A Classification and Regression Trees Analysis.
In order to improve discrimination accuracy between Autism Spectrum Disorder (ASD) and similar neurodevelopmental disorders, a data mining procedure, Classification and Regression Trees (CART), was used on a large multi-site sample of PDD Behavior Inventory (PDDBI) forms on children with and without...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 46; no. 9; pp. 3006 - 3023 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=117195375&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117195375 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Sep2016 vid: 46 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 117195375 117195375 117195375 10.1007/s10803-016-2843-0 117195375 ppf: 3006 ppct: 17 formats: fmt: @attributes: type: P tig: atl: Using the PDD Behavior Inventory as a Level 2 Screener: A Classification and Regression Trees Analysis. aug: au: Cohen, Ira Liu, Xudong Hudson, Melissa Gillis, Jennifer Cavalari, Rachel Romanczyk, Raymond Karmel, Bernard Gardner, Judith affil: Department of Psychology , New York State Institute for Basic Research in Developmental Disabilities , 1050 Forest Hill Road Staten Island 10314 USA sug: subj: Autism Spectrum Disorder Classification Human Questionnaires Male Female Infant Child, Preschool Child Adolescence Instrument Validation Predictive Validity Sensitivity and Specificity Confidence Intervals Chi Square Test Descriptive Statistics Data Analysis Software Maximum Likelihood Funding Source Infant: 1-23 months Child, Preschool: 2-5 years Child: 6-12 years Adolescent: 13-18 years Male Female ab: In order to improve discrimination accuracy between Autism Spectrum Disorder (ASD) and similar neurodevelopmental disorders, a data mining procedure, Classification and Regression Trees (CART), was used on a large multi-site sample of PDD Behavior Inventory (PDDBI) forms on children with and without ASD. Discrimination accuracy exceeded 80 %, generalized to an independent validation set, and generalized across age groups and sites, and agreed well with ADOS classifications. Parent PDDBIs yielded better results than teacher PDDBIs but, when CART predictions agreed across informants, sensitivity increased. Results also revealed three subtypes of ASD: minimally verbal, verbal, and atypical; and two, relatively common subtypes of non-ASD children: social pragmatic problems and good social skills. These subgroups corresponded to differences in behavior profiles and associated bio-medical findings. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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