IC_OR_glm: OR and their confidence intervals for logistic regressions
In packHV: A few Useful Functions for Statisticians
IC_OR_glm R Documentation
OR and their confidence intervals for logistic regressions
Description
Computes odd ratios and their confidence intervals for logistic regressions
Usage
IC_OR_glm(model, alpha = 0.05)
Arguments
model
a glm object
alpha
type I error, 0.05 by default
Value
A matrix with the estimaed coefficients of the logistic model, their s.e., z-values, p-values, OR and CI of the OR
Author(s)
Hugo Varet
Examples
IC_OR_glm(glm(inherit~sex+age,data=cgd,family="binomial"))
packHV documentation built on April 4, 2025, 12:28 a.m.
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| IC_OR_glm | R Documentation |
OR and their confidence intervals for logistic regressions
Description
Computes odd ratios and their confidence intervals for logistic regressions
Usage
IC_OR_glm(model, alpha = 0.05)
Arguments
model |
a |
alpha |
type I error, 0.05 by default |
Value
A matrix with the estimaed coefficients of the logistic model, their s.e., z-values, p-values, OR and CI of the OR
Author(s)
Hugo Varet
Examples
IC_OR_glm(glm(inherit~sex+age,data=cgd,family="binomial"))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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