SingleSimDetails-class: Class containing the subject level event data for each...
In scientific-computing-solutions/eventPrediction: Event Prediction in Clinical Trials with Time-to-Event Outcomes
Description
A class which contains the recruitment times
event times and event types of all subjects and all
simulations for a predict from data simulation.
This class is created when performing simulation and does not
need to be constructed manually
Slots
event.typeA matrix (1 row per subject, 1 column per simulation) of
the reason subjects leave trial. 0 is have event, 1 is drop out and 2 is drop out due to follow up
event.timesA matrix (1 row per subject, 1 column per simulation) of
dates (as numeric) subjects leave the trial
rec.timesA matrix (1 row per subject, 1 column per simulation) of
recruitment dates (as numeric).
Therefore event.times[i,j] - rec.times[i,j] + 1 is the time on study for
subject i in simulation j
scientific-computing-solutions/eventPrediction documentation built on May 29, 2019, 3:44 p.m.
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Description
A class which contains the recruitment times event times and event types of all subjects and all simulations for a predict from data simulation. This class is created when performing simulation and does not need to be constructed manually
Slots
event.typeA matrix (1 row per subject, 1 column per simulation) of the reason subjects leave trial. 0 is have event, 1 is drop out and 2 is drop out due to follow up
event.timesA matrix (1 row per subject, 1 column per simulation) of dates (as numeric) subjects leave the trial
rec.timesA matrix (1 row per subject, 1 column per simulation) of recruitment dates (as numeric). Therefore event.times[i,j] - rec.times[i,j] + 1 is the time on study for subject i in simulation j
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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