weimle1

Fit the shape and scale parameters for a Weibull distribution
to the time-to-event data using MLE.

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

weimle1 function

<dl><dt>time</dt>
<dd>A vector of event times</dd>
<dt>status</dt>
<dd>A vector of 0-1 censoring status, 0 for censored, 1 for observed</dd></dl>

Arguments

Fit Weibull distribution parameters using MLE — weimle1

<dl>

<dt>time</dt>
<dd>A vector of event times</dd>


<dt>status</dt>
<dd>A vector of 0-1 censoring status, 0 for censored, 1 for observed</dd>

</dl>

weimle1: Fit Weibull distribution parameters using MLE

Description

Usage

Value

Arguments

Examples