normaldata: Gaussian dataset for analyzing adaptive Bayesian trials
In thevaachandereng/BACT: Simulation and Analysis of Adaptive Bayesian Clinical Trials
Description
Usage
Format
Examples
Description
A dataset containing the results of 300 patients with continuous
(normal) outcome, the dataset is filled with loss to follow up.
Usage
1
Format
A data frame with 300 rows and 4 variables:
id-
Patient ID in the trial.
treatment-
Treatment assignment for patients, 1 for treatment group 0 for control
group.
outcome-
Continuous outcome of the trial (Gaussian distributed).
complete-
1 for complete outcome, 0 for loss to follow-up.
Examples
1
thevaachandereng/BACT documentation built on July 24, 2020, 2:35 a.m.
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Description Usage Format Examples
Description
A dataset containing the results of 300 patients with continuous (normal) outcome, the dataset is filled with loss to follow up.
Usage
1 |
Format
A data frame with 300 rows and 4 variables:
id-
Patient ID in the trial.
treatment-
Treatment assignment for patients, 1 for treatment group 0 for control group.
outcome-
Continuous outcome of the trial (Gaussian distributed).
complete-
1 for complete outcome, 0 for loss to follow-up.
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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