Table 2 The generalised estimating equation analysis of medical expenses
Parameter | B | Std.Error | 95% wald confidence Internal | hypothesis test | |||
|---|---|---|---|---|---|---|---|
Lower | Upper | wald chi-square | df | p-value | |||
intercept | 5169.088 | 2572.454 | 127.170 | 10,211.006 | 4.038 | 1 | 0.044 |
[region = 1] | 1289.574 | 979.440 | − 630.093 | 3209.241 | 1.734 | 1 | 0.188 |
[region = 2] | 1700.035 | 1349.644 | − 945.219 | 4345.288 | 1.587 | 1 | 0.208 |
[region = 3] | 0b | ||||||
[gender = 1] | − 544.542 | 1937.713 | − 4342.389 | 3253.305 | 0.079 | 1 | 0.779 |
[gender = 2] | 0b | ||||||
age | −400.917651 | 707.808 | − 1788.195 | 986.360 | 0.321 | 1 | 0.571 |
[types of BMI = 1] | 360.977 | 1220.132 | − 2030.437 | 2752.391 | 0.088 | 1 | 0.767 |
[types of BMII = 2] | 0b | ||||||
[grades of medical institution = 0] | 159.418 | 759.276 | − 1328.734 | 1647.571 | 0.044 | 1 | 0.834 |
[grades of medica linstitution = 1] | 9223.120 | ####### | −13,906.490 | 32,352.730 | 0.611 | 1 | 0.434 |
[grades of medica linstitution = 2] | 1986.024 | 1177.259 | −321.361 | 4293.410 | 2.846 | 1 | 0.092 |
[grades of medical institution = 3] | 0b | ||||||
[types of medical service = 1] | − 5085.887 | 772.286 | − 6599.540 | − 3572.233 | 43.369 | 1 | 0.000 |
[types of medical service = 2] | 0b | ||||||
reimbursement ratio | 27.518 | 10.756 | 6.437 | 48.600 | 6.546 | 1 | 0.011 |
scale | 69,869,737.205 | ||||||