Table 3. Regression coefficients of income and cardiac diagnostic testing accessibility as predictors of ACS mortality in unadjusted ordinary least square model, model adjusted for spatial error, and geographic weighted regression model.
Ordinary Least Square | Spatial Error | Geographic Weighted Regression | ||||||
---|---|---|---|---|---|---|---|---|
Variables | Est. | SE | p | Est. | SE | p | Est. Mean | Est.SD |
Income | -4.49 | 1.47 | 0.002* | 2.05 | 1.67 | 0.219 | 4.93 | 56.19 |
Catheterization accessibility | 18627.70 | 1620.08 | <0.001* | 8937.12 | 2585.24 | 0.001* | -24639.31 | 555297.72 |
Stress Echocardiographyaccessibility | -755.51 | 2377.47 | 0.751 | 556.02 | 3091.71 | 0.857 | 1448563.77 | 6735792.94 |
Scintigraphy accessibility | -13457.10 | 1786.88 | <0.001* | -8890.07 | 2999.31 | 0.003* | -2059.62 | 932050.69 |
Stress ECG accessibility | 1783.68 | 396.38 | <0.001* | 769.99 | 651.23 | 0.237 | 14741.88 | 108212.70 |
AIC | 63348.2 | 61896.1 | 3410.32 | |||||
Jarque-Bera Statistic | 2348.23 | <0.001* | ||||||
Adj. R2 | 0.0300 | 0.2994 | 0.2851 | |||||
Koenker’s Statistic | 34.14 | <0.001* | ||||||
Breusch-Pagan Statistic | 74.33 | <0.001* | 82.38 | <0.001* | ||||
Lag coefficient (Rho) | 0.5963 | 0.0146 | <0.001* |
*p < 0.05