ssnma {OssaNMA}

Calculate the optimal sample sizes for a new two-arm trial when analyze it with the existing network

Description

This function calculates the optimal sample size for each treatment group to achieve a pre-specified power when planning a new two-arm trial with binary outcome.

Usage

ssnma(
  p1,
  p2,
  enma_sigma = NULL,
  power.level,
  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

power.level

Power of test we want to obtain

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_size

Sample size for each treatment group.

power

Power of the test.

Examples

ssnma(p1 = 0.2, p2 = 0.3, enma_sigma = 0.4, power = 0.8)