Pwr: Power for single-stage parallel-group RCT.
In arsenionhacolo/InferenceBEAGSD: Inference for Binary Endpoint Adaptive Group-Sequential Designs
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
Pwr calculates the power in an equal-size group
two-arm randomized clinical trial with a binary response.
Usage
1
Arguments
pc
Response probability in control group.
pt
Response probability in treatment group.
Nc
Sample size per group.
alp
Significance level (default: 0.05).
Value
Sample size for one group.
Author(s)
Arsenio Nhacolo
References
Ahn, C., Heo, M. and Zhang, S. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research.
CRC Press, 2014.
See Also
Nct.
Examples
1
Pwr(0.2,0.3,389,0.05)
arsenionhacolo/InferenceBEAGSD documentation built on May 9, 2019, 4:10 a.m.
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.
Description Usage Arguments Value Author(s) References See Also Examples
Description
Pwr calculates the power in an equal-size group
two-arm randomized clinical trial with a binary response.
Usage
1 |
Arguments
pc |
Response probability in control group. |
pt |
Response probability in treatment group. |
Nc |
Sample size per group. |
alp |
Significance level (default: 0.05). |
Value
Sample size for one group.
Author(s)
Arsenio Nhacolo
References
Ahn, C., Heo, M. and Zhang, S. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research. CRC Press, 2014.
See Also
Nct.
Examples
1 | Pwr(0.2,0.3,389,0.05)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.