calc.foldrange: Calculate stadard error and fold-range from confidence...

In hbim: Hill/Bliss Independence Model for Combination Vaccines

Calculate stadard error and fold-range from confidence interval

Description

Given a confidence interval and sample size, we find the standard error assuming confidence limits are calculated on the log10 responses by either normal confidence limits or t-distribution confidence limits. The fold-range is also output by either methods.

Usage

calc.foldrange(n, lower, upper, conf.level = 0.95)

Arguments

n	vector of sample size(s) used to create confidence intervals
lower	vector of lower confidence limits
upper	vector of upper confidence limits
conf.level	confidence level, default=.95

Details

See vignette("hbimdetails")

Value

A vector (or matrix) with elements (or columns)

n	sample size
lower	lower confidence limit
upper	upper confidence limit
s.byt	standard deviation assuming confidence intervals calculated by t-distribution
s.byz	standard deviation assuming confidence intervals calculated by normal distribution
foldrange.byt	fold-range assuming confidence intervals calculated by t-distribution
foldrange.byz	fold-range assuming confidence intervals calculated by normal distribution

Examples

## sample size=43, lower cl=65, upper cl=85
calc.foldrange(43,65,85) 

hbim documentation built on Aug. 24, 2023, 5:10 p.m.