pbcsample {LTRCforests}

Sample Mayo Clinic Primary Biliary Cirrhosis Data

Description

A sample real dataset with time varying covariates. It contains multiple records of measurements of risk factors at multiple time points from 10 patients with primary biliary cirrhosis (PBC), constructed from pbcseq in the R package survival. The data structure has been reformatted with left-truncated right-censored pseudo-subject observations based on the Andersen-Gill reformulation method.

Value

A data frame with 57 rows and 9 variables:

ID

patient id.

Start

the left truncation time point for the corresponding pseudo-subject observation.

Stop

the right censoring time point for the corresponding pseudo-subject observation.

Event

a binary value, with 1 indicating the event occurring at the corresponding Stop, 0 indicating right-censored.

age

patient's age at entry, in years.

alk.phos

alkaline phosphotase (U/liter).

ast

aspartate aminotransferase (U/ml).

chol

serum cholesterol (mg/dl).

edema

0–no edema, 0.5–untreated or successfully treated, 1–edema despite diuretic therapy.

Source

P. A. Murtaugh, E. R. Dickson, G. M. V. Dam, M. Malinchoc, P. M. Grambsch, A. L. Langworthy, and C. H. Gips. (1989). Primary biliary cirrhosis: Prediction of shortterm survival based on repeated patient visits. Hepatology, 20, 126-134.

References

Andersen, P. and Gill, R. (1982). Cox's regression model for counting processes, a large sample study. Annals of Statistics, 10, 1100-1120.