NeuDist (version 1.0.1)

bladder: Bladder Cancer Recurrence Times

Description

Recurrence times (in months) for bladder cancer patients, reported in Lee and Wang (2003). The dataset contains observed survival times without censoring information and is commonly used in survival analysis examples.

Usage

data(bladder)

Value

An object of class "numeric".

The vector consists of 128 observed recurrence times (in months), each corresponding to a single bladder cancer patient. Each value represents the time from treatment or diagnosis to documented cancer recurrence. The dataset is commonly used in survival analysis and biostatistics to illustrate time-to-event modeling, including Kaplan--Meier estimation, hazard rate analysis, accelerated failure-time (AFT) models, and parametric survival distributions.

Format

A numeric vector giving recurrence times (in months) for bladder cancer patients. A total of 128 observations are included.

Details

These recurrence times are widely used in demonstrations of survival analysis methods, including Kaplan--Meier estimation, hazard rate modelling, accelerated failure-time (AFT) models, and parametric distribution fitting. The dataset originally appears in Lee and Wang's Statistical Methods for Survival Data Analysis (3rd ed.), a standard reference text in biostatistics.

Note: The dataset provided here contains recurrence times only and does not include censoring indicators or covariates found in extended versions of the bladder cancer data.

References

Lee, E. T., & Wang, J. W. (2003). Statistical Methods for Survival Data Analysis (3rd ed.). Wiley, New York.

Examples

data(bladder)

# Basic summary
summary(bladder)

# Histogram of recurrence times
hist(
  bladder,
  main = "Bladder Cancer Recurrence Times",
  xlab = "Time (months)"
)