events2power

Calculate Schoenfeld or Event Proportion power from number of events

internal

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

events2power function

<dl><dt>events</dt>
<dd>Number of events.</dd>
<dt>HR</dt>
<dd>Hazard Ratio. Values below 1 indicate a benefit to the active arm vs control.</dd>
<dt>ratio</dt>
<dd>Randomisation ratio (Schoenfeld), or event ratio (event proportion method). Default=1.</dd>
<dt>alpha1</dt>
<dd>1-sided alpha. Default=0.025.</dd>
<dt>HRbound</dt>
<dd>HRvalue to test against. Default=1 (superiority).</dd></dl>

Arguments

Calculate Schoenfeld or Event Proportion power from number of events — events2power

<dl>

<dt>events</dt>
<dd>Number of events.</dd>


<dt>HR</dt>
<dd>Hazard Ratio. Values below 1 indicate a benefit to the active arm vs control.</dd>


<dt>ratio</dt>
<dd>Randomisation ratio (Schoenfeld), or event ratio (event proportion method). Default=1.</dd>


<dt>alpha1</dt>
<dd>1-sided alpha. Default=0.025.</dd>


<dt>HRbound</dt>
<dd>HRvalue to test against. Default=1 (superiority).</dd>

</dl>

events2power: Calculate Schoenfeld or Event Proportion power from number of events

Description

Usage

Value

Arguments