door_ci: Calculate confidence intervals for DOOR probability

In door: Analysis of Clinical Trials with the Desirability of Outcome Ranking Methodology

Calculate confidence intervals for DOOR probability

Description

This is a wrapper function for all CI calculation functions

Usage

door_ci(
  y1 = NULL,
  y2 = NULL,
  n1 = NULL,
  n2 = NULL,
  summary_obj = NULL,
  conf_level = 0.95,
  data_type = c("freq", "prop"),
  ci_method = c("all", "halperin", "ps_h", "tanh"),
  ...
)

Arguments

y1, y2	Numeric vectors of DOOR proportion or frequency distribution for group 1, group 2. The entries should be ordered from most desirable to least desirable
n1, n2	Sample sizes of group 1, group 2; must be specified if method = "prop"
summary_obj	A object returned by individual_to_summary(); Alternative input for y1 and y2
conf_level	Confidence level
data_type	Either "freq" for frequency input or "prop" for proportion input when using y1 and y2
ci_method	One of "all" for all available methods, "halperin" for Halperin et al. (1989)'s method, "ps_h" for pseudo-score approach for Halperin's method, "tanh" for inverse hyperbolc tangent transformed method
...	Additional parameters passed for calculating pseudo-score type confidence interval

Value

List of CIs

See Also

halperin_ci(), pseudo_score_ci()

Examples

door_ci(c(60,30,10), c(50,40,10), ci_method = "all")

door documentation built on Aug. 8, 2025, 6:45 p.m.