PowerTOST (version 1.3-5)

CI.BE: 1-2*alpha confidence interval given point estimator, CV and n

Description

Utility function to calculate the 1-2*alpha CI's given point est., CV and n for the various designs covered in this package.

Usage

CI.BE(alpha = 0.05, pe, CV, n, design = "2x2", robust = FALSE)

Arguments

alpha

Type I error probability, significance level. Defaults to 0.05.

pe

Point estimator (GMR).

CV

Coefficient of variation of error variability as ratio.

n

Total number of subjects if a scalar is given. Number of subjects in (sequence) groups if given as vector.

design

Character string describing the study design. See known.designs() for designs covered in this package.

robust

Defaults to FALSE. Set to TRUE will use the degrees of freedom according to the 'robust' evaluation (aka Senn's basic estimator). These df are calculated as n-seq. See known.designs()$df2 for designs covered in thi

Value

• Returns the 1-2*alpha confidence interval. Returns a vector with named elements lower, upper if arguments pe and CV are scalars, else a matrix with columns lower, upper is returned.

Examples

# 90\% confidence interval for the 2x2 crossover
# n(total) = 24
CI.BE(pe=0.95, CV=0.3, n=24)
# should give
#    lower     upper 
#0.8213465 1.0988055 
# same with number of subjects in sequence groups
CI.BE(pe=0.95, CV=0.3, n=c(12, 12))