caesar: Caesarian Birth Study

In Fahrmeir: Data from the Book "Multivariate Statistical Modelling Based on Generalized Linear Models", First Edition, by Ludwig Fahrmeir and Gerhard Tutz

Description

Data on infection from births by Caesarian section

Usage

data(caesar)

Format

A data frame with 24 observations on the following 7 variables.

y

a factor with levels 1 2 3, the response

w

number of patients in group

noplan

a factor with levels not planned, was the caesarian planned?

factor

a factor with levels risk factors without, was there risk factors?

antib

a factor with levels antibiotics without

yl

logistic response, 0=no infection

patco

covariate pattern number

Details

Infection from birth by Caesarian section. The response variable, y, has levels 1=type I infection, 2=type II infection, 3=none infection. Where risk-factors (diabetes, overweight, others) present? Where antibiotics used as prophylaxis? Aim is to analyse effects on response by covariates.

Author(s)

Kjetil Halvorsen

Source

Ludwig Fahrmeir, Gerhard Tutz (1994): Multivariate Statistical Modelling Based on Generalized Linear Models. Springer Series in Statistics. Springer Verlag. New-York Berlin Heidelberg

Examples

summary(caesar)
caesar.glm1 <- glm(yl ~ noplan+factor+antib, data=caesar, weight=w, 
                       family=binomial(link="logit"))
caesar.glm2 <- glm(yl ~ noplan+factor+antib, data=caesar, weight=w, 
                   family=binomial(link="probit"))
summary(caesar.glm1)
summary(caesar.glm2)

Fahrmeir documentation built on May 2, 2019, 12:37 p.m.