rott2 {AF}

Cohort study on breast cancer patients from the Netherlands.

Description

This dataset is borrowed from "Flexible parametric survival analysis using Stata: beyond the Cox model" (Roystone and Lambert, 2011). It contains follow-up data on 2982 woman with breast cancer who have gone through breast surgery. The women are followed from the time of surgery until death, relapse or censoring.

Usage

data(rott2)

Format

The dataset rott2 contains the following variables:

pid

patient ID number.

year

year of breast surgery (i.e. year of enrollment into the study), between the years 1978-1993.

rf

relapse free interval measured in months.

rfi

relapse indicator.

m

metastasis free.

mfi

metastasis status.

os

overall survival

osi

overall survival indicator

age

age at surgery measured in years.

meno

menopausal status with levels "pre" and "post".

size

tumor size in three classes: <=20mm, >20-50mmm and >50mm.

grade

differentiation grade with levels 2 or 3.

pr

progesterone receptors, fmol/l.

er

oestrogen receptors, fmol/l.

nodes

the number of positive lymph nodes.

hormon

hormonal therapy with levels "no" and "yes".

chemo

categorical variable indicating whether the patient recieved chemotheraphy or not, with levels "no" and "yes".

recent

a numeric indicator of whether the tumor was discovered recently with levels "1978-87" and "1988-93".

no.chemo

a numerical indicator of whether the patient did not recieved chemotherapy. Recoded version of "chemo" where "yes" is recoded as 0 and "no" is recoded as 1.

The following changes have been made to the original data in Roystone and Lambert (2011):

- The variable "chemo" is recoded into the numeric indicator variable "no.chemo":

rott22$no.chemo <- as.numeric(rott2$chemo == "no")

The follwing variables have been removed from the original dataset: enodes, pr_1, enodes_1, _st, _d, _t, _t0 since they are recodings of some existing variables which are not used in this analysis.

References

Royston, Patrick & Lambert, Paul. C (2011). Flexible parametric survival analysis using Stata: beyond the Cox model. College Station, Texas, U.S, Stata press.

http://www.stata-press.com/data/fpsaus.html