Surv2data: Convert data from timecourse to (time1,time2) style

In survival: Survival Analysis

Convert data from timecourse to (time1,time2) style

Description

The multi-state survival functions coxph and survfit allow for two forms of input data. This routine converts between them. The function is normally called behind the scenes when Surv2 is as the response.

Usage

Surv2data(formula, data, subset, id)

Arguments

formula	a model formula
data	a data frame
subset	optional, selects rows of the data to be retained
id	a variable that identified multiple rows for the same subject, normally found in the referenced data set

Details

For timeline style data, each row is uniquely identified by an (identifier, time) pair. The time could be a date, time from entry to a study, age, etc, (there may often be more than one time variable). The identifier and time cannot be missing. The remaining covariates represent values that were observed at that time point. Often, a given covariate is observed at only a subset of times and is missing at others. At the time of death, in particular, often only the identifier, time, and status indicator are known.

In the resulting data set missing covariates are replaced by their last known value, and the response y will be a Surv(time1, time2, endpoint) object.

Value

a list with elements

mf	an updated model frame (fewer rows, unchanged columns)
S2.y	the constructed response variable
S2.state	the current state for each of the rows

survival documentation built on June 22, 2024, 10:49 a.m.