MOVERR {pairwiseCI}

MOVER-R method by Donner and Zhou (2012)

Description

Compute confidence intervals for the ratio (theta1/theta0) of two parameters based on point estimates and confidence intervals for the two parameters, theta1 and theta0.

Usage

MOVERR(theta0, ci0, theta1, ci1, alternative = "two.sided")

Arguments

theta0

a single numeric vale, the point estimate for the parameter to appear in the denominator

ci0

vector with two numeric values, the lower and upper confidence limits for the parameter to appear in the denominator

theta1

a single numeric vale, the point estimate for the parameter to appear in the numerator

ci1

vector with two numeric values, the lower and upper confidence limits for the parameter to appear in the numerator

alternative

a character string, "two.sided" for two-sided intervals, "less" for upper limits, "greater" for lower limits only

Details

This function implements Eq. (9) in Donner and Zou (2012), for computing confidence intervals for a ratio of two parameters, when their estimators are uncorrelated.

Value

a list with elements

conf.int

numeric, the lower and upper confidence limits for the ratio

estimate

the point estimate for the ratio

and the input estimates and confidence limits

Author(s)

Frank Schaarschmidt

References

Donner and Zou (2012): Closed-form confidence intervals for functions of the normal mean and standard deviation. Statistical Methods in Medical Research 21(4):347-359.