add_clicks

When there are more clicks in the composite (overall) outcome curve,
we need to add them to the subdistribution curves. Find the time points
in the composite data that are furthest away from the times in clicksDF,
add these times to clicksDF with 0 jumps in cuminc.

Functions for reconstructing individual-level data (time, status, arm) from Kaplan-MEIER curves published in academic journals (e.g. NEJM, JCO, JAMA). The individual-level data can be used for re-analysis, meta-analysis, methodology development, etc. This package was used to generate the data for commentary such as Sun, Rich, & Wei (2018) <doi:10.1056/NEJMc1808567>. Please see the vignette for a quickstart guide.

Ryan Sun

reconstructKM

Reconstruct Individual-Level Data from Published KM Plots

add_clicks function

<dl><dt>clicksDF</dt>
<dd>A data frame with the two columns, time and cuminc.</dd>
<dt>targetTimes</dt>
<dd>A vector of times from the composite KM plot.</dd>
<dt>nAdd</dt>
<dd>Number of times to add to clicksDF.</dd></dl>

Arguments

Add clicks to subdistribution curves for reconstructing CIC — add_clicks

<dl>

<dt>clicksDF</dt>
<dd>A data frame with the two columns, time and cuminc.</dd>


<dt>targetTimes</dt>
<dd>A vector of times from the composite KM plot.</dd>


<dt>nAdd</dt>
<dd>Number of times to add to clicksDF.</dd>

</dl>

add_clicks: Add clicks to subdistribution curves for reconstructing CIC

Description

Usage

Value

Arguments

Examples