Sample.Size-package: Sample size calculation

In Sample.Size: Sample size calculation

Description

Computes the required sample size using the optimal designs with multiple constraints proposed in Mayo et al.(2010). This optimal method is designed for two-arm, randomized phase II clinical trials, and the required sample size can be optimized either using fixed or flexible randomization allocation ratios.

Details

Package:	SampleSize_OptimalDesign
Type:	Package
Version:	1.0
Date:	2013-12-03
License:	GPL-2

Author(s)

Wei Jiang, Jonathan Mahnken, Matthew Mayo Maintainer: Wei Jiang<[e-mail]>

Examples

Sample.Size(0.3, 0.6, 0.15, 0.15, 0.15, Allratio_c = 1, Allratio_e = 3)
Sample.Size(0.3, 0.6, 0.15, 0.15, 0.15)

Example output

Specified values for parameters: 
Response rates: 
 control = 0.3 experiment = 0.6 
Upper bounds for constriants: 
 gammaC = 0.15 gammaE = 0.15 gammaDelta = 0.15 
 
 
Required sample sizes: 
[1] Optimal Design: 
 nc = 20 ne = 20 n = 40 
[2] 1 to 1 Allocation Design: 
 nc = 20 ne = 20 n = 40 
[3] 1 to 3 Allocation Design: 
 nc = 13 ne = 39 n = 52 
Specified values for parameters: 
Response rates: 
 control = 0.3 experiment = 0.6 
Upper bounds for constriants: 
 gammaC = 0.15 gammaE = 0.15 gammaDelta = 0.15 
 
 
Required sample sizes: 
[1] Optimal Design: 
 nc = 20 ne = 20 n = 40 
[2] 1 to 1 Allocation Design: 
 nc = 20 ne = 20 n = 40 

Sample.Size documentation built on May 1, 2019, 7:57 p.m.