ACSWR (version 1.0)

caesareans: The Cesarean Cases

Description

An increasing concern has been the number of cesarean deliveries, especially in the private hospitals. Here, we know the number of births, the type of hospital (private or Government hospital), and the number of cesareans. We would like to model the number of cesareans as a function of the number of births and the type of hospital. A Poisson regression model is fitted for this data set.

Usage

data(caesareans)

Format

A data frame with 20 observations on the following 3 variables.

Births

total number of births

Hospital_Type

type of hospital, private or government

Caesareans

number of caesareans

Source

http://www.oxfordjournals.org/our_journals/tropej/online/ma_chap13.pdf

Examples

data(caesareans)
names(caesareans)
cae_pois <- glm(Caesareans~Hospital_Type+Births,data=caesareans,family='poisson')
summary(cae_pois)