hce (version 0.6.3)

sizeWO: Sample size calculation for the win odds test (no ties)

Description

Sample size calculation for the win odds test (no ties)

Usage

sizeWO(WO, power, SD = NULL, k = 0.5, alpha = 0.05, WOnull = 1)

Value

a data frame containing the sample size with input values.

Arguments

WO

a numeric vector of win odds values.

power

the given power. A numeric vector of length 1.

SD

assumed standard deviation of the win proportion. By default uses the conservative SD. A numeric vector of length 1.

k

proportion of active group in the overall sample size. Default is 0.5 (balanced randomization). A numeric vector of length 1.

alpha

the significance level for the 2-sided test. Default is 0.05. A numeric vector of length 1.

WOnull

the win odds value of the null hypothesis (default is 1). A numeric vector of length 1.

References

Gasparyan SB et al. (2021) "Power and sample size calculation for the win odds test: application to an ordinal endpoint in COVID-19 trials." Journal of Biopharmaceutical Statistics 31.6: 765-787. doi:10.1080/10543406.2021.1968893.

See Also

powerWO(), minWO() for WO power or minimum detectable WO calculation.

Examples

sizeWO(WO = 1.25, power = 0.9)
sizeWO(WO = 1.25, power = 0.9, k = 0.75)
sizeWO(WO = seq(1.05, 1.5, 0.05), power = 0.9)