Description

Histology grade and risk factors for 79 cases of endometrial cancer

Usage

Format

A data frame with 79 rows and 4 variables:

NV

neovasculization with coding 0 for absent and 1 for present

PI

pulsality index of arteria uterina

EH

endometrium height

HG

histology grade with coding 0 for low grade and 1 for high grade

Source

The packaged data set was downloaded in .dat format from http://www.stat.ufl.edu/~aa/glm/data. The latter link provides the data sets used in Agresti (2015).

The endometrial data set was first analyzed in Heinze and Schemper (2002), and was originally provided by Dr E. Asseryanis from the Medical University of Vienna.

References

Agresti A (2015). *Foundations of Linear and Generalized Linear Models*. Wiley Series in Probability and Statistics. Wiley

Heinze G, Schemper M (2002). A Solution to the Problem of Separation in Logistic Regression. *Statistics in Medicine*, **21**, 2409–2419 doi: 10.1002/sim.1047

Kosmidis I, Firth D (2020). Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models. *Biometrika* doi: 10.1093/biomet/asaa052

See Also

brglm_fit