getPatients,RCurve-method

This calculates the expected number of recruited patients at a given time based upon an RCurve

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

getPatients,RCurve-method function

<dl><dt>theObject</dt>
<dd>The name of the RCurve Object</dd>
<dt>x</dt>
<dd>time at which to calculate expected patients recruited"</dd></dl>

Arguments

Method for calculating expected number of recruited patients at a given time from an RCurve — getPatients,RCurve-method

<dl>

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


<dt>x</dt>
<dd>time at which to calculate expected patients recruited"</dd>

</dl>

getPatients,RCurve-method: Method for calculating expected number of recruited patients at a given time from an RCurve

Description

Usage

Arguments

Examples