Description Usage Arguments Value Examples
View source: R/cusum_limit_exact.R
This function only works for very small sample sizes (<= 15), as it permutes through all possible outcome sequences and estimates the percentage of runs that reach a specific CUSUM values.
1 | cusum_limit_exact(n_patients, failure_probability, odds_multiplier, alpha)
|
n_patients |
Integer. Number of patients in monitoring period /sample size |
failure_probability |
Double. Baseline failure probability |
odds_multiplier |
Double. Odds multiplier of adverse event under the alternative hypothesis (<1 looks for decreases) |
alpha |
Double. False signal probability of CUSUM |
Returns the control limit for signalling performance change for small sample sizes (double)
1 2 3 4 5 6 7 | # calculate exact control limits for alpha = 0.05
cusum_limit_exact(
failure_probability = 0.1,
n_patients = 10,
odds_multiplier = 2,
alpha = 0.05
)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.