d_example_surv: Hypothetical survival data

In Rsurrogate: Robust Estimation of the Proportion of Treatment Effect Explained by Surrogate Marker Information

Description

Hypothetical survival data to be used in examples.

Usage

data(d_example_surv)

Format

A list with 8 elements representing 500 observations from a control group and 500 observations from a treatment group:

s1

Surrogate marker measurement for treated observations; this marker is measured at time = 0.5. For observations that experience the primary outcome or are censored before 0.5, this value is NA.

x1

The observed event or censoring time for treated observations; X = min(T, C) where T is the time of the primary outcome and C is the censoring time.

delta1

The indicator identifying whether the treated observation was observed to have the event or was censored; D =1*(T<C) where T is the time of the primary outcome and C is the censoring time.

s0

Surrogate marker measurement for control observations; this marker is measured at time = 0.5. For observations that experience the primary outcome or are censored before 0.5, this value is NA.

x0

The observed event or censoring time for control observations; X = min(T, C) where T is the time of the primary outcome and C is the censoring time.

delta0

The indicator identifying whether the control observation was observed to have the event or was censored; D =1*(T<C) where T is the time of the primary outcome and C is the censoring time.

z1

A baseline covariate value for treated observations.

z0

A baseline covariate value for control observations.

Examples

data(d_example_surv)
names(d_example_surv)

Rsurrogate documentation built on Nov. 14, 2021, 9:07 a.m.