dataCSL: CSL Liver Chirrosis Data.

In RISCA: Causal Inference and Prediction in Cohort-Based Analyses

CSL Liver Chirrosis Data.

Description

Survival status for the liver chirrosis patients of Schlichting et al.

Usage

data(dataCSL)

Format

This data frame contains the following columns:

id	a numeric vector related to the subject ID.
time	A numeric vector with the time of measurement.
prot	A numeric vector with the prothrombin level at measurement time.
dc	A numeric vector code. 0: censored observation, 1: died at eventT.
eventT	A numeric vector with the time of event (death).
treat	A numeric vector code. 0: active treatment of prednisone, 1: placebo treatment.
sex	A numeric vector code. 0: female, 1: male.
age	A numeric vector with the age of subject at inclusion time subtracted 60.
prot.base	A numeric vector with the prothrombin base level before entering the study
prot.prev	A numeric vector with the level of prothrombin at previous measurement time.
lt	A numeric vector with the starting time for the time-interval.
rt	A numeric vector with the stopping time for the time-interval.

Source

The timreg package

References

Schlichting et al. Prognostic factors in cirrhosis identified by Cox's regression model. Hepatology. 1983 Nov-Dec;3(6):889-95. <doi https://doi.org/ 10.1002/ hep.1840030601>

Examples

data(dataCSL)
names(dataCSL)

RISCA documentation built on March 31, 2023, 11:06 p.m.