endometrial: Histology grade and risk factors for 79 cases of endometrial...

In brglm2: Bias Reduction in Generalized Linear Models

Histology grade and risk factors for 79 cases of endometrial cancer

Description

Histology grade and risk factors for 79 cases of endometrial cancer

Usage

endometrial

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 https://users.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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/sim.1047")}.

Kosmidis I, Firth D (2021). Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models. Biometrika, 108, 71-82. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/biomet/asaa052")}.

See Also

brglm_fit()

brglm2 documentation built on Oct. 12, 2023, 1:07 a.m.