delta.e.estimate: Tests for a treatment effect on the primary outcome using...

In hettest: Testing for a Treatment Effect Using a Heterogeneous Surrogate Marker

Tests for a treatment effect on the primary outcome using surrogate marker information, ignoring potential heterogeneity

Description

Nonparametric test for a treatment effect on the primary outcome using surrogate marker information, ignoring potential heterogeneity. This test borrows information from a prior study about the relationship between the surrogate and the primary outcome to test for a treatment effect in the current study.

Usage

delta.e.estimate(sone = NULL, szero = NULL, szerop, yzerop, extrapolate = TRUE, 
mat = NULL, n1 = NULL, n0 = NULL)

Arguments

sone	surrogate marker in the treated group in the current study
szero	surrogate marker in the control group in the current study
szerop	surrogate marker in the control group in the prior study
yzerop	primary outcome in the control group in the prior study
extrapolate	TRUE or FALSE; extrapolate for values outside of the support in the prior study
mat	for the current study, the user can either provide sone and szero or can provide a vector, mat, where the first n1 values are the surrogate marker in the treated group in the current study, and the remaining values are the surrogate marker in the control group in the current study
n1	sample size of treated group in the current study; only needed if mat is provided instead of sone and szero
n0	sample size of control group in the current study; only needed if mat is provided instead of sone and szero

Value

delta.e	estimated treatment effect using surrogate marker information
sd.e	estimated standard error of treatment effect estimate
test.statistic.e	test statistic for treatment effect
p.value.e	p-value for test statistic

Author(s)

Layla Parast

References

Parast, Cai, and Tian (2022+). Using a Surrogate with Heterogeneous Utility to Test for a Treatment Effect.

Examples

data(example.data)
delta.e.estimate(sone = example.data$s1, szero = example.data$s0, szerop = example.data$s0.p, 
yzerop = example.data$y0.p)

hettest documentation built on Oct. 7, 2022, 5:06 p.m.