deltaWO.adhce: Win odds calculation based on a threshold for 'adhce' objects

In hce: Design and Analysis of Hierarchical Composite Endpoints

Win odds calculation based on a threshold for adhce objects

Description

Win odds calculation based on a threshold for adhce objects

Usage

## S3 method for class 'adhce'
deltaWO(x, delta, ref = unique(x$TRTP)[1], alpha = 0.05, WOnull = 1, ...)

Arguments

x	an adhce object.
delta	a numeric threshold.
ref	the reference treatment group.
alpha	significance level. The default is 0.05.
WOnull	the null hypothesis. The default is 1.
...	additional parameters.

Value

a data frame containing the win odds and its confidence interval. It contains the following columns:

• WO calculated win odds.

• LCL lower confidence limit.

• UCL upper confidence limit.

• SE standard error of the win odds.

• WOnull win odds of the null hypothesis (specified in the WOnull argument).

• alpha two-sided significance level for calculating the confidence interval (specified in the alpha argument).

• Pvalue p-value associated with testing the null hypothesis.

• WP calculated win probability.

• LCL_WP lower confidence limit for WP.

• UCL_WP upper confidence limit for WP.

• SE_WP standard error of the win probability.

• SD_WP standard deviation of the win probability, calculated as SE_WP multiplied by sqrt(N).

• N total number of patients in the analysis.

• ref the reference group.

• delta the threshold.

See Also

deltaWO(), calcWO().

Examples

# Example using the kidney dataset
dat <- as_hce(KHCE)
calcWO(dat, ref = "P")
## The exact same result
deltaWO(dat, delta = 0, ref = "P")
## A large threshold
deltaWO(dat, delta = 10, ref = "P")

hce documentation built on March 13, 2026, 1:06 a.m.