3 recherche sur le mot-clé 'Generalized additive models'

Comparing traditional and continuous norming models for neurobehavioral assessments: A simulation study / Thomas W. FRAZIER in Research in Autism, 137 (September 2026)  

Public ISBD [article]  inResearch in Autism > 137 (September 2026) . - 202987 Titre : Comparing traditional and continuous norming models for neurobehavioral assessments: A simulation study Type de document : texte imprimé Auteurs : Thomas W. FRAZIER, Auteur ; Eric A. YOUNGSTROM, Auteur ; Knaebel BEN, Auteur ; Mirko ULJAREVIĆ, Auteur Article en page(s) : 202987 Langues : Anglais (eng) Mots-clés : Continuous norming  Generalized additive models  Simulation  Sample size  Test development Index. décimale : PER Périodiques Résumé : Developing accurate test norms is crucial to developmental disability practice but requires substantial resources. Continuous norms show promise relative to traditional norms, yet there is limited guidance on optimal methods and minimum sample sizes. This simulation study compared traditional norming with continuous norming models across 96 data conditions varying in sample size (500−1500), age trajectories (ages 2–22), variance patterns, and skewness. Generalized Additive Models for Location, Scale, and Shape (GAMLSS) that approximated the data generating conditions tended to be the best fitting models. Best fitting GAMLSS models showed closer fit to the data at N = 500 than traditional windowing norms at N = 1500 with the largest GAMLSS performance gains occurring by N = 750. Real-world neurobehavioral data supported the need for an iterative model selection process when developing continuous norms. Test developers can achieve high norming accuracy with smaller samples using a GAMLSS model selection process, potentially reducing costs while improving precision. En ligne : https://doi.org/10.1016/j.reia.2026.202987 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=592 [article] Comparing traditional and continuous norming models for neurobehavioral assessments: A simulation study [texte imprimé] / Thomas W. FRAZIER, Auteur ; Eric A. YOUNGSTROM, Auteur ; Knaebel BEN, Auteur ; Mirko ULJAREVIĆ, Auteur . - 202987. Langues : Anglais (eng) in Research in Autism > 137 (September 2026) . - 202987 Mots-clés : Continuous norming  Generalized additive models  Simulation  Sample size  Test development Index. décimale : PER Périodiques Résumé : Developing accurate test norms is crucial to developmental disability practice but requires substantial resources. Continuous norms show promise relative to traditional norms, yet there is limited guidance on optimal methods and minimum sample sizes. This simulation study compared traditional norming with continuous norming models across 96 data conditions varying in sample size (500−1500), age trajectories (ages 2–22), variance patterns, and skewness. Generalized Additive Models for Location, Scale, and Shape (GAMLSS) that approximated the data generating conditions tended to be the best fitting models. Best fitting GAMLSS models showed closer fit to the data at N = 500 than traditional windowing norms at N = 1500 with the largest GAMLSS performance gains occurring by N = 750. Real-world neurobehavioral data supported the need for an iterative model selection process when developing continuous norms. Test developers can achieve high norming accuracy with smaller samples using a GAMLSS model selection process, potentially reducing costs while improving precision. En ligne : https://doi.org/10.1016/j.reia.2026.202987 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=592

Brief Report: Diminishing Geographic Variability in Autism Spectrum Disorders Over Time? / Kate HOFFMAN in Journal of Autism and Developmental Disorders, 44-3 (March 2014)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 44-3 (March 2014) . - p.712-718 Titre : Brief Report: Diminishing Geographic Variability in Autism Spectrum Disorders Over Time? Type de document : texte imprimé Auteurs : Kate HOFFMAN, Auteur ; Veronica M. VIEIRA, Auteur ; Julie L. DANIELS, Auteur Article en page(s) : p.712-718 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders (ASD)  Spatial analyses  Geographic variability  Generalized additive models  Prevalence Index. décimale : PER Périodiques Résumé : We investigated differences in the geographic distribution of autism spectrum disorders (ASD) over time in central North Carolina with data from the Autism and Developmental Disabilities Monitoring Network. Using generalized additive models and geographic information systems we produced maps of ASD risk in 2002–2004 and 2006–2008. Overall the risk of ASD increased 52.9 % from 2002–2004 to 2006–2008. However, the magnitude of change in risk was not uniform across the study area; while some areas experienced dramatic increases in ASD risk (400 %), others experienced slight decreases. Generally, areas with the lowest risk in 2002–2004 experienced the greatest increases over time. Education and outreach efforts in North Carolina expanded during this period, possibly contributing to the observed leveling of risk over time. En ligne : http://dx.doi.org/10.1007/s10803-013-1907-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=225 [article] Brief Report: Diminishing Geographic Variability in Autism Spectrum Disorders Over Time? [texte imprimé] / Kate HOFFMAN, Auteur ; Veronica M. VIEIRA, Auteur ; Julie L. DANIELS, Auteur . - p.712-718. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 44-3 (March 2014) . - p.712-718 Mots-clés : Autism spectrum disorders (ASD)  Spatial analyses  Geographic variability  Generalized additive models  Prevalence Index. décimale : PER Périodiques Résumé : We investigated differences in the geographic distribution of autism spectrum disorders (ASD) over time in central North Carolina with data from the Autism and Developmental Disabilities Monitoring Network. Using generalized additive models and geographic information systems we produced maps of ASD risk in 2002–2004 and 2006–2008. Overall the risk of ASD increased 52.9 % from 2002–2004 to 2006–2008. However, the magnitude of change in risk was not uniform across the study area; while some areas experienced dramatic increases in ASD risk (400 %), others experienced slight decreases. Generally, areas with the lowest risk in 2002–2004 experienced the greatest increases over time. Education and outreach efforts in North Carolina expanded during this period, possibly contributing to the observed leveling of risk over time. En ligne : http://dx.doi.org/10.1007/s10803-013-1907-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=225

Maximizing accurate detection of divergence from normative expectation in behavioral intervention outcome assessment / Katie HUBA ; Allison R. FRAZIER ; Rebecca A. WOMACK ; Eric A. YOUNGSTROM ; Lacey CHETCUTI ; Antonio Y. HARDAN ; Mirko ULJAREVIĆ in Research in Autism, 126 (August 2025)  

Public ISBD [article]  inResearch in Autism > 126 (August 2025) . - p.202646 Titre : Maximizing accurate detection of divergence from normative expectation in behavioral intervention outcome assessment Type de document : texte imprimé Auteurs : Katie HUBA, Auteur ; Allison R. FRAZIER, Auteur ; Rebecca A. WOMACK, Auteur ; Eric A. YOUNGSTROM, Auteur ; Lacey CHETCUTI, Auteur ; Antonio Y. HARDAN, Auteur ; Mirko ULJAREVIĆ, Auteur Article en page(s) : p.202646 Langues : Anglais (eng) Mots-clés : Norms  Behavioral intervention  Outcomes  Progress monitoring  Generalized additive models Index. décimale : PER Périodiques Résumé : Behavioral interventions have shown substantial positive effects at the group level in improving the developmental trajectory of individuals with autism spectrum disorder (ASD), including a wide range of benefits from symptom reductions to skill development. However, there remain pronounced individual differences in the response to interventions and substantial practice variability in the choice and implementation of outcome assessments to evaluate progress for individual cases. Unfortunately, legacy outcome assessments were not specifically designed for the behavioral intervention context or for use with individuals with ASD. Furthermore, legacy instruments have been normed using traditional approaches that are often very inefficient and have limited sensitivity to divergence from neurotypical expectation. Recently, new measures, specifically designed for ASD and related neurodevelopmental conditions, have been developed and revised for use as behavioral intervention outcome assessments. To maximize the value of these measures, the present study aimed to identify optimal norming methods by comparing five distinct continuous norming models. Results indicated that more complex models that include estimation of non-linear age trends fit better and appear to provide more accurate identification of deviation from normative expectation, especially at younger ages where normative data is dense. For some symptom and skill domains, inclusion of sex-specific age-trends was necessary for best fit and most accurate performance. These findings support the use of continuous norming methods using non-linear modeling of developmental trends in the norming of outcome measures for behavioral intervention. Behavior intervention outcome assessments would benefit from implementing these norming approaches to improve the ability to detect deviation from neurotypical symptom and skill levels. En ligne : https://doi.org/10.1016/j.reia.2025.202646 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=565 [article] Maximizing accurate detection of divergence from normative expectation in behavioral intervention outcome assessment [texte imprimé] / Katie HUBA, Auteur ; Allison R. FRAZIER, Auteur ; Rebecca A. WOMACK, Auteur ; Eric A. YOUNGSTROM, Auteur ; Lacey CHETCUTI, Auteur ; Antonio Y. HARDAN, Auteur ; Mirko ULJAREVIĆ, Auteur . - p.202646. Langues : Anglais (eng) in Research in Autism > 126 (August 2025) . - p.202646 Mots-clés : Norms  Behavioral intervention  Outcomes  Progress monitoring  Generalized additive models Index. décimale : PER Périodiques Résumé : Behavioral interventions have shown substantial positive effects at the group level in improving the developmental trajectory of individuals with autism spectrum disorder (ASD), including a wide range of benefits from symptom reductions to skill development. However, there remain pronounced individual differences in the response to interventions and substantial practice variability in the choice and implementation of outcome assessments to evaluate progress for individual cases. Unfortunately, legacy outcome assessments were not specifically designed for the behavioral intervention context or for use with individuals with ASD. Furthermore, legacy instruments have been normed using traditional approaches that are often very inefficient and have limited sensitivity to divergence from neurotypical expectation. Recently, new measures, specifically designed for ASD and related neurodevelopmental conditions, have been developed and revised for use as behavioral intervention outcome assessments. To maximize the value of these measures, the present study aimed to identify optimal norming methods by comparing five distinct continuous norming models. Results indicated that more complex models that include estimation of non-linear age trends fit better and appear to provide more accurate identification of deviation from normative expectation, especially at younger ages where normative data is dense. For some symptom and skill domains, inclusion of sex-specific age-trends was necessary for best fit and most accurate performance. These findings support the use of continuous norming methods using non-linear modeling of developmental trends in the norming of outcome measures for behavioral intervention. Behavior intervention outcome assessments would benefit from implementing these norming approaches to improve the ability to detect deviation from neurotypical symptom and skill levels. En ligne : https://doi.org/10.1016/j.reia.2025.202646 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=565