crLong: Transform Competing Risks Data in Long Format

In drizopoulos/JM: Joint Modeling of Longitudinal and Survival Data

Transform Competing Risks Data in Long Format

Description

In a competing risks setting this function expands the data frame with a single row per subject to the a data frame in long format in which each subject has as many rows as the number of competing events.

Usage

crLong(data, statusVar, censLevel,
    nameStrata = "strata", nameStatus = "status2")

Arguments

data	the data frame containing the competing risk data with a single row per subject.
statusVar	a character string denoting the name of the variable in data that identifies the status variable which equals 1 if the subject had any of the competing events and 0 otherwise.
censLevel	a character string or a scalar denoting the censoring level in the statusVar variable of data.
nameStrata	a character string denoting the variable that will be added in the long version of data denoting the various causes of event.
nameStatus	a character string denoting the variable that will be added in the long version of data denoting if the subject experience any of the competing events.

Value

A data frame in the long format with multiple rows per subject.

Author(s)

Dimitris Rizopoulos [e-mail]

References

Rizopoulos, D. (2012) Joint Models for Longitudinal and Time-to-Event Data: with Applications in R. Boca Raton: Chapman and Hall/CRC.

Putter, H., Fiocco, M., and Geskus, R. (2007). Tutorial in biostatistics: Competing risks and multi-state models. Statistics in Medicine 26, 2389–2430.

Examples

head(crLong(pbc2.id, "status", "alive"))

drizopoulos/JM documentation built on Aug. 10, 2022, 1:51 a.m.