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

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Documentation for package ‘Rsurrogate’ version 3.2

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Aug.R.s.surv.estimate Calculates the augmented estimator of the proportion of treatment effect explained by the surrogate marker information measured at a specified time and primary outcome information up to that specified time
delta.estimate Calculates treatment effect
delta.multiple.surv Calculates robust residual treatment effect accounting for multiple surrogate markers at a specified time and primary outcome information up to that specified time
delta.s.estimate Calculates model-based or robust residual treatment effect
delta.s.surv.estimate Calculates robust residual treatment effect accounting for surrogate marker information measured at a specified time and primary outcome information up to that specified time
delta.surv.estimate Calculates treatment effect in a survival setting
delta.t.surv.estimate Calculates robust residual treatment effect accounting only for primary outcome information up to a specified time
d_example Hypothetical data
d_example_me Hypothetical data with replicate measurements
d_example_multiple Hypothetical survival data with multiple surrogate markers
d_example_surv Hypothetical survival data
fieller.ci Constructs Fieller's confidence interval.
me.variance.estimate Estimates measurement error variance given replicate data.
R.multiple.surv Calculates the proportion of treatment effect explained by multiple surrogate markers measured at a specified time and primary outcome information up to that specified time
R.s.estimate Calculates the proportion of treatment effect explained
R.s.estimate.me Calculates the proportion of treatment effect explained correcting for measurement error in the surrogate marker
R.s.surv.estimate Calculates the proportion of treatment effect explained by the surrogate marker information measured at a specified time and primary outcome information up to that specified time
R.t.surv.estimate Calculates the proportion of treatment effect explained by the primary outcome information up to a specified time