exactDatesFromMonths

Based on monhtly number of events, compute exact day when the pre-specified number of events happens, using simple linear interpolation.

htest

Implements the hybrid framework for event prediction described in Fang & Zheng (2011, <doi:10.1016/j.cct.2011.05.013>). To estimate the survival function the event prediction is based on, a piecewise exponential hazard function is fit to the time-to-event data to infer the potential change points. Prior to the last identified change point, the survival function is estimated using Kaplan-Meier, and the tail after the change point is fit using piecewise exponential.

Kaspar Rufibach

eventTrack

Event Prediction for Time-to-Event Endpoints

exactDatesFromMonths function

<dl> <dt>predicted</dt>
<dd><code>data.frame</code>, with first column monthly dates and second column the number of events in each month.</dd> <dt>nevent</dt>
<dd>Number of targeted events.</dd></dl>

Arguments

Kaspar Rufibach (maintainer) <a href="/link/kaspar.rufibach%40roche.com?package=eventTrack&version=1.0.4" data-mini-rdoc="eventTrack::kaspar.rufibach@roche.com">kaspar.rufibach@roche.com</a>

Author

Compute exact timepoint when a certain number of events is reached, based on monthly number of events — exactDatesFromMonths

<dl>

 <dt>predicted</dt>
<dd><code>data.frame</code>, with first column monthly dates and second column the number of events in each month.</dd>

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

</dl>

Kaspar Rufibach (maintainer) <a href='mailto:kaspar.rufibach@roche.com'>kaspar.rufibach@roche.com</a>

exactDatesFromMonths: Compute exact timepoint when a certain number of events is reached, based on monthly number of events

Description

Usage

Value

Arguments

Author