data1

A dataset containing data for testing the estimating of one or two cutpoints

datasets

Estimate one or two cutpoints of a metric or ordinal-scaled
variable in the multivariable context of survival data or
time-to-event data. Visualise the cutpoint estimation process using contour
plots, index plots, and spline plots. It is also possible to estimate
cutpoints based on the assumption of a U-shaped or inverted U-shaped
relationship between the predictor and the hazard ratio.
Govindarajulu, U., and Tarpey, T. (2022) <doi:10.1080/02664763.2020.1846690>.

Jan Porthun

cutpoint

Estimate Cutpoints of Metric Variables in the Context of Cox
Regression

data1 function

<div class="section" id="-data-">
<h3>"data1"</h3>
A data frame with 100 rows and 5 variables:<dl>
<dt>biomarker</dt>
<dd>numeric from 1 to 257</dd><dt>covariate_1</dt>
<dd>numeric, from 4.25 to 12.33, with effect of the cutpoint
of the biomarker</dd><dt>covariate_2</dt>
<dd>numeric, from 465 to 1205, with no or small effect of
the cutpoint of the biomarker</dd><dt>time</dt>
<dd>numeric, from 3 to 328</dd><dt>event</dt>
<dd>numeric, 0 or 1</dd>
</dl></div>

Format

Author

Dataset for testing the cutpoint estimating function: cp_est — data1

<div class='section' id='-data-'>
<h3>"data1"</h3>


A data frame with 100 rows and 5 variables:<dl>
<dt>biomarker</dt>
<dd>numeric from 1 to 257</dd>

<dt>covariate_1</dt>
<dd>numeric, from 4.25 to 12.33, with effect of the cutpoint
of the biomarker</dd>

<dt>covariate_2</dt>
<dd>numeric, from 465 to 1205, with no or small effect of
the cutpoint of the biomarker</dd>

<dt>time</dt>
<dd>numeric, from 3 to 328</dd>

<dt>event</dt>
<dd>numeric, 0 or 1</dd>


</dl>

</div>

data1: Dataset for testing the cutpoint estimating function: cp_est

Description

Usage

Arguments

Format

"data1"

Author

Examples