as: as

In tagteam/MedicalRiskPredictionModels: R-codes for book: Medical Risk Prediction Models by Gerds & kattan

Description

This is a computer modified synthetic version of the data of the active surveillance study by Berg et al.

Format

A data frame with 217 observations on the following 10 variables.

age5

Age in years divided by 5

psa

psa

ct1

ct1

diaggs

diaggs

ppb5

ppb5

lmax

lmax

asprog

Progression status: 1= progression, 2= death without progression, 0 = censored

asprogtime

Time on active surveillance

age

Age in years

erg

Biomarker erg status

Source

The data are computer modified synthetic data

References

Kasper Drimer Berg, Ben Vainer, Frederik Birkebaek Thomsen, M Andreas Roeder, Thomas Alexander Gerds, Birgitte Groenkaer Toft, Klaus Brasso, and Peter Iversen. Erg protein expression in diagnostic specimens is associated with increased risk of progression during active surveillance for prostate cancer. European urology, 66(5):851–860, 2014.

Examples

data(as)

tagteam/MedicalRiskPredictionModels documentation built on Dec. 23, 2020, 9:48 a.m.