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Table 3 Quasi-beta regression with logit link function to predict the PROCAM coronary artery disease risk based on sickness funds’ routine data

From: Should health insurers target prevention of cardiovascular disease?: a cost-effectiveness analysis of an individualised programme in Germany based on routine data

Parameter Estimate Standard error DF t statistic p value
Intercept −1.1952 0.254 2 −4.59 0.04
Age 0.0472 0.005 1223 9.02 <0.0001
Gender (female) −0.8587 0.103 1223 −8.31 <0.0001
Diabetes 0.0513 0.394 1223 0.12 0.91
Hypertension 0.0908 0.099 1223 0.87 0.39
Obesity 0.4230 0.124 1223 3.55 0.0004
  1. DF: degrees of freedom.