plotRecruitment

This plots an RCurve Recruitment Function

Provides tools to assist planning and monitoring of time-to-event trials under complicated censoring assumptions and/or non-proportional hazards. There are three main components: The first is analytic calculation of predicted time-to-event trial properties, providing estimates of expected hazard ratio, event numbers and power under different analysis methods. The second is simulation, allowing stochastic estimation of these same properties. Thirdly, it provides parametric event prediction using blinded trial data, including creation of prediction intervals. Methods are based upon numerical integration and a flexible object-orientated structure for defining event, censoring and recruitment distributions (Curves).

James Bell

gestate

Generalised Survival Trial Assessment Tool Environment

Jasmin Ruehl

plotRecruitment function

<dl><dt>theObject</dt>
<dd>The name of the RCurve Object</dd>
<dt>...</dt>
<dd>Pass-through arguments</dd></dl>

Arguments

Method for plotting the Recruitment Function of a RCurve object — plotRecruitment

<dl>

<dt>theObject</dt>
<dd>The name of the RCurve Object</dd>


<dt>...</dt>
<dd>Pass-through arguments</dd>

</dl>

plotRecruitment: Method for plotting the Recruitment Function of a RCurve object

Description

Usage

Arguments

Examples