The DOI matches its Crossref record; 56 of the 57 references it cites were found in a registry or an index.
Predicting Developmental Status from 12 to 24 Months in Infants at Risk for Autism Spectrum Disorder: A Preliminary Report
Open accessAbstract
The study examined whether performance profiles on individual items of the Toddler Module of the Autism Diagnostic Observation Schedule at 12 months are associated with developmental status at 24 months in infants at high and low risk for developing Autism Spectrum Disorder (ASD). A nonparametric decision-tree learning algorithm identified sets of 12-month predictors of developmental status at 24 months. Results suggest that identification of infants who are likely to exhibit symptoms of ASD at 24 months is complicated by variable patterns of symptom emergence. Fine-grained analyses linking specific profiles of strengths and deficits with specific patterns of symptom emergence will be necessary for further refinement of screening and diagnostic instruments for ASD in infancy.
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“Several previous studies have also used the strategy of contrasting ASD with no ASD outcome collapsed across risk group [11, 67–72].”
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Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Classification and Regression Trees.
Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,867
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 21,030
Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065
(1943) · The Nervous child · Cited by 8,870
Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., & Rutter, M. (2000) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1005592401947 · Cited by 7,520
Dawson, G., Rogers, S., Munson, J., Smith, M., Winter, J., Greenson, J., Donaldson, A., & Varley, J. (2010) · Pediatrics · doi:10.1542/peds.2009-0958 · Cited by 2,835
Research works printed but not linked: 1
- Lord, C., Luyster, R., Gotham, K., Guthrie, W., Risi, S., & Rutter, M. (in press). Autism diagnostic observation schedule—toddler module manual. Los Angeles, CA: Western Psychological Services.
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Joint Attention in Development : Insights from Children with Autism and Infant Siblings
Thorup, E. (2017) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Dépistage précoce des troubles du spectre autistique : symptômes émergents et bio-marqueurs
Goussé, V., Amsellem, F., & Delorme, R. (2016) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)30718-6
Adapting Pivotal Response Treatment to Support the Families of High-Risk Infants
Bradshaw, J. L., & Koegel, L. K. (2018) · Autism and child psychopathology series · doi:10.1007/978-3-319-90994-3_4
Variatie in de vroege trajecten van autismesymptomen
Visser, J. C., Rommelse, N. N. J., Lappenschaar, M. G. A., Servatius-Oosterling, I. J., Greven, C. U., & Buitelaar, J. K. (2019) · Kind en adolescent · doi:10.1007/s12453-018-00198-w
Social Processes and Risk for Autism
Klaiman, C., Saulnier, C. A., Rubin, E., Chawarska, K., & Klin, A. (2019) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199837182.013.15
Self-citationLampl, M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.002
Hespos, S. J., & Anderson, E. M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.013
Dual Language Exposure and Early Learning
Brito, N. H. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.024
Reh, R. K., & Werker, J. F. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.021
Development During Infancy in Children Later Diagnosed with Autism Spectrum Disorder
Falck‐Ytter, T., & Jones, E. J. H. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.005
Dynamic Epigenetic Impact of the Environment on the Developing Brain
Champagne, F. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.003
Síndromes genéticas e a atuação fonoaudiológica
Maximino, L. P., Cavalheiro, M. G., & Corrêa, C. D. C. (2020) · Faculdade de Filosofia e Ciências eBooks · doi:10.36311/2020.978-65-86546-87-3.p165-184
Diagnóstico fonoaudiológico de crianças com transtorno do neurodesenvolvimento
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Lockman, J. J., & Tamis‐LeMonda, C. S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.031
Lockman, J. J., & Tamis‐LeMonda, C. S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108351959.030
Metadata
- Authors
- Macari, S. L., Campbell, D., Gengoux, G. W., Saulnier, C. A., Klin, A. J., & Chawarska, K.
- Affiliations
- Yale University (US)
- Emory University (US)
- Corresponding author
- Macari, Suzanne L.
- Venue
- Journal of Autism and Developmental Disorders
- Published
- 2012-04-07
- Volume
- 42
- Issue
- 12
- Pages
- 2636-2647
- ISSN
- 0162-3257 (ISSN-L)
- 1573-3432
- PMC
- PMC3565427
- OpenAlex
- W2030278404
- Cited by
- 116
- References
- 57
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 1 · 2022: 5 · 2021: 4 · 2020: 43 · 2019: 3 · 2018: 15 · 2017: 11 · 2016: 9 · 2015: 4 · 2014: 10 · 2013: 7
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Autism and Developmental Disorders (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Simons Foundation
- National Institute of Mental Health (R01MH087554)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P01HD003008)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Psychiatry and Mental health › Child Nutrition and Feeding Issues
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- autism spectrum disorder, Autism Diagnostic Observation Schedule, early screening, decision tree induction
- MeSH terms
- Algorithms, Child Development, Child Development Disorders, Pervasive, Child, Preschool, Female, Humans, Infant, Male, Predictive Value of Tests, Prospective Studies, Risk Factors
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