getNactive

theObject

<p>This returns the RCurve active arm patient number</p>

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 calculation of these same properties. Finally, it also provides parametric event prediction using blinded trial data, including creation of confidence intervals. Methods are based upon numerical integration and a flexible object-orientated structure for defining event, censoring and recruitment curves.

James Bell

gestate

getNactive: Method for returning the active arm patient number from a RCurve

Description

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Examples