Description Usage Format Details Source References Examples
German health registry for the years 1984-1988. Health information for years prior to health reform.
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A data frame with 27,326 observations on the following 4 variables.
docvis
number of visits to doctor during year (0-121)
age
age: 25-64
educ
years of formal education (7-18)
hhninc
household yearly income in DM/1000)
rwm is saved as a data frame. Count models typically use docvis as response variable. 0 counts are included
German Health Reform Registry, years pre-reform 1984-1988, From Hilbe and Greene (2008)
Hilbe, Joseph M (2011), Negative Binomial Regression, Cambridge University Press Hilbe, J.M. and W.H. Greene (2008), "Count Response Regression Models", in Rao, CR, JP Miller and DC Rao (eds), Handbook of Statistics 27: Epidemiology and Medical Statistics, Amsterdam: Elsevier. pp. 210-252.
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Loading required package: msme
Loading required package: MASS
Loading required package: lattice
Loading required package: sandwich
Call:
glm(formula = docvis ~ age + educ + hhninc, family = poisson,
data = rwm)
Deviance Residuals:
Min 1Q Median 3Q Max
-3.4573 -2.2402 -1.0531 0.4035 25.0457
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.8523131 0.0254907 33.44 <2e-16 ***
age 0.0212508 0.0003047 69.75 <2e-16 ***
educ -0.0420873 0.0017279 -24.36 <2e-16 ***
hhninc -0.0532375 0.0022036 -24.16 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 164286 on 27325 degrees of freedom
Residual deviance: 156590 on 27322 degrees of freedom
AIC: 209636
Number of Fisher Scoring iterations: 6
(Intercept) age educ hhninc
2.3450649 1.0214782 0.9587860 0.9481548
Call:
glm.nb(formula = docvis ~ age + educ + hhninc, data = rwm, init.theta = 0.5164359976,
link = log)
Deviance Residuals:
Min 1Q Median 3Q Max
-1.6102 -1.3508 -0.4509 0.1483 5.4209
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 0.913261 0.063637 14.351 <2e-16 ***
age 0.020429 0.000817 25.005 <2e-16 ***
educ -0.045957 0.004212 -10.911 <2e-16 ***
hhninc -0.047681 0.005463 -8.728 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for Negative Binomial(0.5164) family taken to be 1)
Null deviance: 29565 on 27325 degrees of freedom
Residual deviance: 28511 on 27322 degrees of freedom
AIC: 120654
Number of Fisher Scoring iterations: 1
Theta: 0.51644
Std. Err.: 0.00596
2 x log-likelihood: -120644.04200
(Intercept) age educ hhninc
2.4924366 1.0206393 0.9550825 0.9534375
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