survivaldata: Time-to-event dataset for analyzing adaptive Bayesian trials
In bayesCT: Simulation and Analysis of Adaptive Bayesian Clinical Trials
Description
Usage
Format
Examples
Description
A dataset containing the results of 100 patients with time-to-event outcome,
the dataset is filled with treatment assignment and status (0 = censored,
1 = not censored).
Usage
1
Format
A data frame with 100 rows and 4 variables:
- id
Patient ID in the trial
- treatment
treatment assignment for patients, 1 for treatment group
0 for control group
- time
the follow up time for patients
- event
The status indicator, normally 0=alive, 1=dead or
0 = no event, 1 = event occurred
Examples
1
bayesCT documentation built on July 2, 2020, 2:34 a.m.
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Description Usage Format Examples
Description
A dataset containing the results of 100 patients with time-to-event outcome, the dataset is filled with treatment assignment and status (0 = censored, 1 = not censored).
Usage
1 |
Format
A data frame with 100 rows and 4 variables:
- id
Patient ID in the trial
- treatment
treatment assignment for patients, 1 for treatment group 0 for control group
- time
the follow up time for patients
- event
The status indicator, normally 0=alive, 1=dead or 0 = no event, 1 = event occurred
Examples
1 |
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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