Surv2: Creating data frame

In intccr: Semiparametric Competing Risks Regression under Interval Censoring

Creating data frame

Description

The function Surv2 generates the survival object to be treated as the response from ciregic.

Usage

Surv2(v, u, w = NULL, sub = NULL, event)

Arguments

v	the last observation time prior to the failure; 0≤ v ≤ u
u	the first observation time after the failure; u ≥ 0
w	a left truncation time or delayed entry time. The default setting is w = NULL for non left-truncated data.
sub	an indicator variable in the data set. It is an optional argument for interval-censored competing risks data and missing cause of failure, and the default is NULL. sub = 1 for the observations that are subject to missingness and sub = 0 elsewhere.
event	an indicator of cause of failure. If an observation is righ-censored, event = 0; otherwise, event = 1 or event = 2, where 1 represents the first cause of failure, and 2 represents the second cause of failure. The current version of package only allows for two causes of failure.

Details

The function Surv2 provides a response data frame which is used in the function ciregic and ciregic_lt. For interval-censored competing risks data, the function Surv2 must use three parameters (v, u, c). For left-truncated and interval censored competing risks data, the function Surv2 must use four parameters (v, u, w, c). If data are partially left-truncated, but all interval-censored, w = 0 for only interval-censored competing risks data.

Value

data frame

Author(s)

Jun Park, [e-mail]

Giorgos Bakoyannis, [e-mail]

Examples

attach(simdata)
Surv2(v = v, u = u, event = c)
attach(simdata_lt)
Surv2(v = v, u = u, w = w, event = c)

intccr documentation built on May 10, 2022, 9:05 a.m.