ssanma {OssaNMA} | R Documentation |
Calculate the optimal sample size allocation for a new two-arm trial when analyze it with the existing network
Description
This function calculates the optimal sample size allocation for each treatment group with a fixed total sample size when planning a new two-arm trial with binary outcome.
Usage
ssanma(
p1,
p2,
enma_sigma,
N,
sig.level = 0.05,
method = "with",
allocation = "uneven"
)
Arguments
p1 |
Risk of treatment 1 |
p2 |
Risk of treatment 2 |
enma_sigma |
Standard error of the estimated effect size (log odds ratio) between treatment 1 and treatment 2 from the existing network |
N |
Number of total sample size |
sig.level |
Significance level, the default value is 0.05 |
method |
a character string specifying the method of analyzing the new trial, must be one of 'with' (default) or 'without' |
allocation |
a character string specifying the type of sample size allocation between two groups, must be one of 'uneven' (default) or 'even'. |
Value
A list with the following components:
sample_alloc |
Sample size allocation to each treatment group. |
power |
Power of the test. |
Examples
ssanma(p1 = 0.2, p2 = 0.3, enma_sigma = 0.4, N = 200)
[Package OssaNMA version 0.1.2 Index]