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Table 3 The generalised estimating equation analysis of reimbursement ratio

From: Medical expenditure for patients with hemophilia in urban China: data from medical insurance information system from 2013 to 2015

ParameterBStd.Error95% wald confidence Internalhypothesis test
LowerUpperwald chi-squaredfp-value
intercept11.8768.858−5.48629.2381.79710.180
[region = 1]21.0743.55614.10428.04335.12410.000
[region = 2]10.3973.5113.51617.2788.77010.003
[region = 3]0a      
[gender = 1]38.3457.05424.51952.17029.54910.000
[gender = 2]0a      
age−2.5872.046−6.5981.4241.59810.206
[types of BMI = 1]15.1293.2528.75621.50321.64910.000
[types of BMII = 2]0a      
[grades of medical institution = 0]7.9013.4091.21914.5835.37110.020
[grades of medica linstitution = 1]15.3483.9527.60223.09315.08310.000
[grades of medica linstitution = 2]−0.0603.004−5.9485.8280.00010.984
[grades of medical institution = 3]0a      
[types of medical service = 1]−3.4312.951−9.2142.3531.35210.245
[types of medical service = 2]0a      
medical expenses0.0000.0000.0000.0012.84410.092
scale687.056