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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.
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BMC Health Services Research

ISSN: 1472-6963

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