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. 2022 Oct 17;176(12):1233–1241. doi: 10.1001/jamapediatrics.2022.3605

Table 4. Odds Ratios for the Prediction of Consistency Between Index and Reference ASD Diagnoses Using Child- and Clinician-Based Predictors Using Multivariate Multilevel Modela.

Parameter fixed effects Model 1 Model 2 Model 3 Model 4 Model 5
Predicted intercept 2.135b 2.777b 1.014b 0.239 0.029
Child-level predictor
Certainty NA 1.794b 1.536b 1.631b 1.817b
Ethnicity NA NA 2.659b 2.796b 2.459c
Child directly observed NA NA NA 1.947b 2.312b
Clinician-level predictor
Sex NA NA NA NA 3.084
Age NA NA NA NA 1.004
Years past training NA NA NA NA 0.970
ASD primary responsibility NA NA NA NA 2.156
ADOS routinely used NA NA NA NA 0.933
Model improvementd
Deviance based χ2 837.701 54.812 20.838 121.760 NA
df 2 3 4 1 NA
P value NA <.001 <.001 <.001 NA

Abbreviations: ADOS, Autism Diagnostic Observation Schedule, ASD; autism spectrum disorder; NA, not applicable.

a

Valid cases in the multivariate model were n = 341, thus, there were 8 missing cases (0.023%) and were due to listwise deletion required by the multivariate model.

b

P < .05, 2-tailed test.

c

P < .05, 1-tailed test.

d

Variance reduction by use of a χ2 test based on the difference in the 2 models’ deviance estimates. Nested models involve only significant parameters in the multivariate model using either 1-tailed or 2-tailed. NA in model 5 denotes the absence of a comparison model 6.