blaTum: Bladder Tumors Cancer Recurrences

In spef: Semiparametric Estimating Functions

Description

A data frame contains data on recurrences of bladder cancer, used by many people to demonstrate methodology for recurrent event modelling. This data set organized differently from bladTumor. The data contains records of 85 patients from two treatment arms: 48 are from the placebo arm, and the rest 37 are from the thiotepa arm.

Usage

data(blaTum)

Format

A data.frame contains the following columns:

id

patient id

treatment

placebo = 0, thiotepa = 1

size

size (cm) of largest initial tumor

num

initial number of tumors (8 = 8 or more)

time

observation time

count

number of new tumors since last observation time

Note

To our surprise, the two-treatment (placebo and thiotepa) subset of the full version bladTumor do not match the two-treatment version blaTum.

References

Byar, D. P. (1980). The Veterans administration study of chemoprophylaxis for recurrent stage I bladder tumors: comparisons of placebo, pyridoxine, and topical thiotepa. Bladder Tumors and Other Topics in Urological Oncology, pp. 363–370. New York: Plenum.

Sun, J. and Wei, L. J. (2000) Regression analysis of panel count data with covariate dependent observation and censoring times. Journal of the Royal Statistical Society, Series B: Statistical Methodology, 62(2), 293–302.

Huang, C. Y., Wang, M. C. and Zhang, Y. (2006). Analyzing panel count data with informative observation times. Biometrika, 93(4): 763–776.

See Also

bladTumor

Examples

data(blaTum)
library(ggplot2)
ggplot(blaTum, aes(time, id)) + geom_tile(aes(fill=count)) +
    facet_grid(treatment ~ ., scales="free_y", )

spef documentation built on July 1, 2020, 7:11 p.m.