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Table S1. (a–d) Generalized estimating equation regression models for predicting the log-odds for vessel-level recanalization among patients who received IV tPA or no treatment (panels a), and among patients who received IA revascularization therapy (panels c). Vessel recanalization index values (VRI) that were used in the patient-level recanalization analyses were computed based on the regression coefficients of the reduced models that are presented in panels (b) and (d), respectively, for the IV or no treatment patient subgroup, and for the IA patient subgroup.

Table S2. (a, b) Added variable rankings for the IV and no treatment subgroup of patients (panel a), and added variable rankings for the IA revascularization subgroup of patients (panel b). Note that the order ranks were computed based subtracting the expect likelihood ratio chi-squared statistic (i.e. the model degrees of freedom) under the null hypothesis that no patient-level recanalization prediction information is provided by the model predictor variables from the model likelihood ratio chi-square statistic. Note that VRI was a common predictor in all models.

Table S3. (a, b). Logistic regression models for predicting the log-odds for patient-level recanalization among patients who received IV tPA or no treatment (panel a), and among patients who received IA revascularization therapy (panel b).

Appendix S1. The appendix describes the analytical details for step 1 and step 2 of the statistical modeling process (37–39).

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