EKOptAdaptDesigns: Englert and Kieser (2013)'s optimal adaptive designs.
In arsenionhacolo/InferenceBEAGSD: Inference for Binary Endpoint Adaptive Group-Sequential Designs
Description
Usage
Format
Source
Description
A dataframe containing all optimal adaptive two-stage designs for phase II
cancer clinical trials present in Englert and Kieser (2013).
Usage
1
Format
A dataframe with 709 rows and 11 variables:
- id
Identifier of the designs
- x1
Number of successes (responses) at stage 1
- n2
Stage 2 sample size
- D
Discrete conditional error function
- l
Stage 2 decision boundary
- pi0
Response probability under the null hypothesis
- pi1
Response probability under the alternative hypothesis
- alpha
Type I error rate
- beta
Type II error rate
- n1
Stage 1 sample size
- n2max
Maximum stage 2 sample size
Source
https://onlinelibrary.wiley.com/doi/abs/10.1002/bimj.201200220
arsenionhacolo/InferenceBEAGSD documentation built on May 9, 2019, 4:10 a.m.
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Description Usage Format Source
Description
A dataframe containing all optimal adaptive two-stage designs for phase II cancer clinical trials present in Englert and Kieser (2013).
Usage
1 |
Format
A dataframe with 709 rows and 11 variables:
- id
Identifier of the designs
- x1
Number of successes (responses) at stage 1
- n2
Stage 2 sample size
- D
Discrete conditional error function
- l
Stage 2 decision boundary
- pi0
Response probability under the null hypothesis
- pi1
Response probability under the alternative hypothesis
- alpha
Type I error rate
- beta
Type II error rate
- n1
Stage 1 sample size
- n2max
Maximum stage 2 sample size
Source
https://onlinelibrary.wiley.com/doi/abs/10.1002/bimj.201200220
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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