Skip to main content
. 2019 Jan 10;14(1):e0210502. doi: 10.1371/journal.pone.0210502

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