bcusum_crit_sim: Compute alarm threshold of Bernoulli CUSUM control charts...

In vlad: Variable Life Adjusted Display and Other Risk-Adjusted Quality Control Charts

Description

Compute alarm threshold of Bernoulli cumulative sum control charts using simulation.

Usage

bcusum_crit_sim(L0, df, R0 = 1, RA = 2, m = 100, nc = 1, jmax = 4,
  verbose = FALSE)

Arguments

L0	Double. Prespecified in-control Average Run Length.
df	Data Frame. First column are Parsonnet Score values within a range of 0 to 100 representing the preoperative patient risk. The second column are binary (0/1) outcome values of each operation.
R0	Double. Odds ratio of death under the null hypotheses.
RA	Double. Odds ratio of death under the alternative hypotheses. Detecting deterioration in performance with increased mortality risk by doubling the odds Ratio RA = 2. Detecting improvement in performance with decreased mortality risk by halving the odds ratio of death RA = 1/2.
m	Integer. Number of simulation runs.
nc	Integer. Number of cores.
jmax	Integer. Number of digits for grid search.
verbose	Logical. If TRUE verbose output is included, if FALSE a quiet calculation of h is done.

Details

The function bcusum_crit_sim determines the control limit for given in-control ARL (L0) by applying a multi-stage search procedure which includes secant rule and the parallel version of bcusum_arl_sim using mclapply.

Value

Returns a single value which is the control limit h for a given in-control ARL.

Author(s)

Philipp Wittenberg

vlad documentation built on Feb. 15, 2021, 5:12 p.m.