Table 1.
Summary of case count and percentage of predictors associated with T2D.
Table 2.
Results of the overdispersion test of the dependent variable (y).
Fig 1.
Smoothed distribution of the number of T2D cases using kernel density estimation (KDE).
Table 3.
Evaluation measures of the full PR, full NBR, full PIGR, and full BR models.
Fig 2.
Plot of actual against predicted values for the full PR, NBR, PIGR, and BR models.
Fig 3.
Model comparison across evaluation metrics.
Fig 4.
Comparison of AIC and BIC across full models.
Table 4.
Estimation results of count data regression models.
Table 5.
Significant variables in full PR, NBR, PIGR, and BR models.
Table 6.
Performance metrics of reduced PR, NBR, PIGR, and BR models using the most significant predictors across all models.
Fig 5.
Plot of actual against predicted values for the reduced PR, NBR, PIGR, and BR models.
Fig 6.
Model comparison across evaluation metrics.
Fig 7.
AIC and BIC comparison across reduced models.