SurrogateTest
1.3Early Testing for a Treatment Effect using Surrogate Marker Information
Overview
Provides functions to test for a treatment effect in terms of the difference in survival between a treatment group and a control group using surrogate marker information obtained at some early time point in a time-to-event outcome setting. Nonparametric kernel estimation is used to estimate the test statistic and perturbation resampling is used for variance estimation. More details will be available in the future in: Parast L, Cai T, Tian L (2019) ``Using a Surrogate Marker for Early Testing of a Treatment Effect" Biometrics, 75(4):1253-1263. doi:10.1111/biom.13067.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 90%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 24%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
Author records are not tracked yet for this package.
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.3Latest
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.22020-03-29 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.12019-03-28 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.02017-10-29
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-10-29
- Total releases
- 4 / 9 yrs
- License
- GPL
- Bundled data
- 58 KB / 2 files
- Download size
- 74 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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