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Table 1 OR estimates and 95% confidence intervals from geometric and logistic regression models of physician visits for the German Socio-Economic Panel data

From: Odds ratios from logistic, geometric, Poisson, and negative binomial regression models

 

Geometric

Logistic

Relative widthe

Covariate

Estimate

Interval

Estimate

Interval

 

Post-reforma

0.87

(0.79, 0.96)

0.82

(0.68, 0.99)

57%

Bad healthb

3.13

(2.71, 3.63)

3.28

(2.24, 4.82)

36%

Education (10.5 - 12 years)c

1.09

(0.95, 1.24)

1.19

(0.94, 1.51)

50%

Education (HS graduate +)c

0.97

(0.84, 1.11)

1.32

(1.03, 1.70)

40%

Age (40 - 49 years)d

1.05

(0.93, 1.19)

0.92

(0.73, 1.16)

62%

Age (50 - 60 years)d

1.21

(1.05, 1.39)

0.99

(0.76, 1.29)

64%

Log household income

1.13

(0.99, 1.30)

1.26

(0.98, 1.62)

48%

  1. Reference category: a Pre-reform; b Good health; c 7 - 10 years of education; d Age 20–39 years e Geometric compared to logistic model