Caesarian: Caesarian Infection Dataset

In lbreg: Log-Binomial Regression with Constrained Optimization

Description

Adapted dataset from Fahrmeir et al (2013): grouped data on infections of 251 mothers after a C-section collected at the clinical center of the University of Munich.

Usage

data("Caesarian")

Format

A data frame with 7 rows and 5 variables.

n1

Caesarians with infections.

n0

Caesarians without infections.

NPLAN

= 1 if C-section was not planned.

RISK

= 1 if risk factors existed.

ANTIB

= 1 if antibiotics were administered as prophylaxis.

Source

http://www.uni-goettingen.de/de/551625.html

References

Fahrmeir, L., Kneib, Th., Lang, S., Marx, B. (2013) Regression - Models, Methods and Applications. Springer.

Examples

data(Caesarian)
Caesarian
# no observations for case (RISK=0, NPLAN=1, ANTIB=1)
y = Caesarian[,1:2]
cbind(Caesarian[,3:5], total=rowSums(y))
colSums(y)

Example output

  n1 n0 RISK NPLAN ANTIB
1  8 32    0     0     0
2 28 30    1     0     0
3  0  9    0     1     0
4 23  3    1     1     0
5  0  2    0     0     1
6  1 17    1     0     1
8 11 87    1     1     1
  RISK NPLAN ANTIB total
1    0     0     0    40
2    1     0     0    58
3    0     1     0     9
4    1     1     0    26
5    0     0     1     2
6    1     0     1    18
8    1     1     1    98
 n1  n0 
 71 180 

lbreg documentation built on Dec. 26, 2019, 5:06 p.m.