A dataset from the oak trial used for examples

datasets

Provides an efficient and robust implementation for estimating marginal Hazard Ratio (HR) and
Restricted Mean Survival Time (RMST) with covariate adjustment using Daniel et al. (2021) <doi:10.1002/bimj.201900297> and
Karrison et al. (2018) <doi:10.1177/1740774518759281>.

Xinlei Deng

bunsen

Marginal Survival Estimation with Covariate Adjustment

Mark Baillie

Craig Wang

Dominic Magirr

Alex Przybylski

oak function

A data frame with 578 rows and 5 variables:<dl>
<dt>trt</dt>
<dd>Treatment assignment, 1 or 0</dd><dt>btmb</dt>
<dd>Blood-based tumor mutational burden</dd><dt>pdl1</dt>
<dd>Anti–programmed death ligand 1 (PD-L1) expressed on &gt;=1% tumor cells or tumor-infiltrating immune cells</dd><dt>OS</dt>
<dd>Overall survival time</dd><dt>os.status</dt>
<dd>Overall survival status, 1 is death; 0 is censor</dd>
</dl>

Format

Oak trial data — oak

A data frame with 578 rows and 5 variables:<dl>
<dt>trt</dt>
<dd>Treatment assignment, 1 or 0</dd>

<dt>btmb</dt>
<dd>Blood-based tumor mutational burden</dd>

<dt>pdl1</dt>
<dd>Anti–programmed death ligand 1 (PD-L1) expressed on &gt;=1% tumor cells or tumor-infiltrating immune cells</dd>

<dt>OS</dt>
<dd>Overall survival time</dd>

<dt>os.status</dt>
<dd>Overall survival status, 1 is death; 0 is censor</dd>


</dl>

oak: Oak trial data

Description

Usage

Arguments

Format