racusum_alpha_sim: Simulate false signal probability alpha given control limit...

In cusum: Cumulative Sum (CUSUM) Charts for Monitoring of Hospital Performance

Description

Simulate false signal probability alpha given control limit for RA-CUSUM charts

Usage

racusum_alpha_sim(patient_risks, odds_multiplier, n_simulation, limit,
  seed = NULL)

Arguments

patient_risks	Double. Vector of patient risk scores (individual risk of adverse event)
odds_multiplier	Double. Odds multiplier of adverse event under the alternative hypothesis (<1 looks for decreases)
n_simulation	Integer. Number of simulation runs
limit	Double. Control limit for signalling performance change
seed	Integer. Seed for RNG

Value

Returns False signal probability of specified RA-CUSUM chart.

Examples

# Patients risks are usually known from Phase I.
# If not, these risk scores can be simulated.

# define possible patient risk scores
risks <- c(0.001, 0.01, 0.1, 0.002, 0.02, 0.2)

# sample risk population of size n = 100
set.seed(2046)
patient_risks <- sample(x = risks, size = 100, replace = TRUE)

# control limit can be obtained with racusum_limit_sim(),
# here it is set to an arbitrary value (2.96)

# simulate false positive probability of RA-CUSUM
racusum_alpha_sim(patient_risks,
  odds_multiplier = 2,
  n_simulation = 1000,
  limit = 2.96,
  seed = 2046
)

cusum documentation built on Oct. 2, 2019, 5:03 p.m.