d.babysurv: Survival of early born babies
In regr0: Building regression models

The survival of prematurely born babies is modeled based on several characteristics.

1 2	data("d.babysurv") data("d.babysurvGr")

d.babysurv is a data frame with 246 observations on the following 6 variables. To be checked!!!

Survival: Binary variable to be modelled: The babies with Survival==1 have survived
Weight: Weight
Age: Age in ...
Apgar1, Apgar2: Two scores that desribe the vitality of the baby
pH: Blood pH at birth

d.babysurvGr contains summarized data: All babies in the same weight class of width 100 are grouped. The other variables are neglected.

n: Number of babies in each weight class.
Survival.0, Survival.1: Number of babies that have not survived in each weight class.
Weight: Mean of weight class

...

Hibbard (1986)

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data(d.babysurv)
data(d.babysurvGr)
plot(I(Survival.1/n)~Weight, data=d.babysurvGr)

regr0 documentation built on May 2, 2019, 4:52 p.m.

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