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As a robustness check, this paper also used the same techniques with adjusted variables.
ANOVAs were followed by Bonferroni post-hoc tests for multiple comparisons with adjusted p-values.
Multiple regression analyses included a sample with missing values for the adjusted variables.
Then, we computed a full model with all predictors to assess the adjusted variables.
Crude odds ratios are reported to enable comparison with covariate-adjusted odds ratios, calculated through logistic regression models.
In comparison with radiologists/pathologists, the adjusted HR of emergency physicians was 21.34 955% CI 8.00 to 56.89).
Variables with adjusted P < 0.05 remained in the final model.
*Model 1-3: mulogisticogistic regression analyses with adjusted OR for included variables.
The empty model contained estimates only for the PHC-level random intercept of adherence with VBSC guidelines and was intended to act as a baseline for comparison with the full and adjusted models that take into account both fixed variables and random effect terms.
Statistical analysis of comparisons with HIGH, GLM with adjusted p-values (FDR procedure), **, p <.01; * p <.05.
Comparison with the study for 1990 94 was made using descriptive statistics and adjusted odds ratios with 95% confidence intervals.
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