normaldata: Gaussian 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 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 distribution)
- complete
1 for complete outcome, 0 for loss to follow up
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 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 distribution)
- 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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