TABLE 8

Within-sample goodness-of-fit statistics

Male MaorisMale EuropeansFemale MaorisFemale Europeans
DataModelDataModelDataModelDataModel
Number of AMIs frequency distribution
094.4494.5594.4294.5496.4696.5497.0597.10
14.673.984.694.112.902.412.462.13
20.671.130.681.010.460.770.370.57
3+0.210.340.220.340.190.290.130.20
Incidence rates
Age 40–440.030.030.010.020.010.010.000.00
Age 45–490.050.050.020.020.020.020.010.01
Age 50–540.070.070.040.030.040.040.010.01
Age 55–590.100.100.050.050.060.060.020.02
Age 60–640.140.140.080.080.100.090.030.03
Age 65–690.190.190.110.110.140.130.050.05
Age 70–740.220.270.160.180.190.200.090.09
Age 75–790.300.350.250.280.230.310.160.17
Age 80+0.370.480.390.450.340.450.270.31
Cumulative hazard rates
Age 500.040.040.020.020.020.020.000.00
Age 550.070.080.040.040.030.040.010.01
Age 600.120.130.060.060.070.070.020.02
Age 650.200.200.100.100.110.110.030.03
Age 700.290.300.160.160.180.180.050.06
Age 750.400.430.240.250.280.290.100.10
Age 800.550.610.370.390.400.440.180.19
Age 850.750.860.570.620.570.670.310.34
Male MaorisMale EuropeansFemale MaorisFemale Europeans
DataModelDataModelDataModelDataModel
Number of AMIs frequency distribution
094.4494.5594.4294.5496.4696.5497.0597.10
14.673.984.694.112.902.412.462.13
20.671.130.681.010.460.770.370.57
3+0.210.340.220.340.190.290.130.20
Incidence rates
Age 40–440.030.030.010.020.010.010.000.00
Age 45–490.050.050.020.020.020.020.010.01
Age 50–540.070.070.040.030.040.040.010.01
Age 55–590.100.100.050.050.060.060.020.02
Age 60–640.140.140.080.080.100.090.030.03
Age 65–690.190.190.110.110.140.130.050.05
Age 70–740.220.270.160.180.190.200.090.09
Age 75–790.300.350.250.280.230.310.160.17
Age 80+0.370.480.390.450.340.450.270.31
Cumulative hazard rates
Age 500.040.040.020.020.020.020.000.00
Age 550.070.080.040.040.030.040.010.01
Age 600.120.130.060.060.070.070.020.02
Age 650.200.200.100.100.110.110.030.03
Age 700.290.300.160.160.180.180.050.06
Age 750.400.430.240.250.280.290.100.10
Age 800.550.610.370.390.400.440.180.19
Age 850.750.860.570.620.570.670.310.34
Data: Computed directly from the estimation sample. Model: Computed from simulating outcomes using the estimates in Table 3 as the data-generating process and taking the individual observation periods in the estimation sample as given.
TABLE 8

Within-sample goodness-of-fit statistics

Male MaorisMale EuropeansFemale MaorisFemale Europeans
DataModelDataModelDataModelDataModel
Number of AMIs frequency distribution
094.4494.5594.4294.5496.4696.5497.0597.10
14.673.984.694.112.902.412.462.13
20.671.130.681.010.460.770.370.57
3+0.210.340.220.340.190.290.130.20
Incidence rates
Age 40–440.030.030.010.020.010.010.000.00
Age 45–490.050.050.020.020.020.020.010.01
Age 50–540.070.070.040.030.040.040.010.01
Age 55–590.100.100.050.050.060.060.020.02
Age 60–640.140.140.080.080.100.090.030.03
Age 65–690.190.190.110.110.140.130.050.05
Age 70–740.220.270.160.180.190.200.090.09
Age 75–790.300.350.250.280.230.310.160.17
Age 80+0.370.480.390.450.340.450.270.31
Cumulative hazard rates
Age 500.040.040.020.020.020.020.000.00
Age 550.070.080.040.040.030.040.010.01
Age 600.120.130.060.060.070.070.020.02
Age 650.200.200.100.100.110.110.030.03
Age 700.290.300.160.160.180.180.050.06
Age 750.400.430.240.250.280.290.100.10
Age 800.550.610.370.390.400.440.180.19
Age 850.750.860.570.620.570.670.310.34
Male MaorisMale EuropeansFemale MaorisFemale Europeans
DataModelDataModelDataModelDataModel
Number of AMIs frequency distribution
094.4494.5594.4294.5496.4696.5497.0597.10
14.673.984.694.112.902.412.462.13
20.671.130.681.010.460.770.370.57
3+0.210.340.220.340.190.290.130.20
Incidence rates
Age 40–440.030.030.010.020.010.010.000.00
Age 45–490.050.050.020.020.020.020.010.01
Age 50–540.070.070.040.030.040.040.010.01
Age 55–590.100.100.050.050.060.060.020.02
Age 60–640.140.140.080.080.100.090.030.03
Age 65–690.190.190.110.110.140.130.050.05
Age 70–740.220.270.160.180.190.200.090.09
Age 75–790.300.350.250.280.230.310.160.17
Age 80+0.370.480.390.450.340.450.270.31
Cumulative hazard rates
Age 500.040.040.020.020.020.020.000.00
Age 550.070.080.040.040.030.040.010.01
Age 600.120.130.060.060.070.070.020.02
Age 650.200.200.100.100.110.110.030.03
Age 700.290.300.160.160.180.180.050.06
Age 750.400.430.240.250.280.290.100.10
Age 800.550.610.370.390.400.440.180.19
Age 850.750.860.570.620.570.670.310.34
Data: Computed directly from the estimation sample. Model: Computed from simulating outcomes using the estimates in Table 3 as the data-generating process and taking the individual observation periods in the estimation sample as given.
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