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hetsurrSurv (version 1.0)

Assessing Heterogeneity in Surrogacy Using Censored Data

Description

Provides functions to assess and test for heterogeneity in the utility of a surrogate marker with respect to a baseline covariate using censored (survival data), and to test for heterogeneity across multiple time points. More details are available in Parast et al (2024) .

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Version

Install

install.packages('hetsurrSurv')

Monthly Downloads

131

Version

1.0

License

GPL

Maintainer

Layla Parast

Last Published

August 28th, 2024

Functions in hetsurrSurv (1.0)

pred.smooth.surv.w

Estimates P(T>t|W=w)
example.data

Example data
R.main.estimate

Estimates the proportion of treatment effect explained by the surrogate marker as a function of a baseline covariate
test.multiplet

Tests for heterogeneity across multiple timepoints
R.surv.s.w

Estimates the propoportion of treatment effect explained as a function of a baseline covariate, w
pred.smooth.surv.w.s

Estimates P(T>t|T>t_0, S=s, W=w)
delta.s.surv.estimate.new

Calculates robust residual treatment effect accounting for surrogate marker information measured at a specified time and primary outcome information up to that specified time