expon.slope: Confidence interval for an exponentiated slope

In statpsych: Statistical Methods for Psychologists

Confidence interval for an exponentiated slope

Description

Computes confidence intervals for exp(B) - 1 (as a percent) and exp(B) where B is a population slope coefficient in a binary logit, ordinal logit, or log-Poisson model. This function is useful with software that does not have an option to compute exp(B) and exp(B) - 1.

Usage

expon.slope(alpha, b, se)

Arguments

alpha	alpha level for 1-alpha confidence
b	estimated slope coefficient
se	slope standard error

Value

Returns a 2-row matrix. The first row gives the results for exp(B), and the the second row gives the results for exp(B) - 1 (as a percent). The columns are:

• Estimate - estimate of exp(B) or exp(B) - 1

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

Examples

expon.slope(.05, .502, .0396)

# Should return:
#                   Estimate        LL       UL
# exp(B)            1.652022  1.528651  1.78535
# 100[exp(B) - 1]% 65.202201 52.865066 78.53502

statpsych documentation built on April 4, 2025, 3:20 a.m.