I am working in R and would like to obtain the 95% confidence intervals associat

Question

I am working in R and would like to obtain the 95% confidence intervals associated with trt, c_alcuse, and motivationabstain. How would I go about that?

or = glm(abstain1alc~ trt+ age + gender + C_alcuse + motivationabstain, family=binomial(link="logit"))

> OR

Error: object 'OR' not found

> or

Call: glm(formula = abstain1alc ~ trt + age + gender + C_alcuse + motivationabstain,

family = binomial(link = "logit"))

Coefficients:

(Intercept) trt1 age genderM C_alcuse2  

-2.19266 0.64674 0.03931 0.12526 0.12069  

C_alcuse3 C_alcuse4 C_alcuse5 C_alcuseMissing motivationabstain1  

0.25532 0.10074 0.60688 1.27411 0.75098  

Degrees of Freedom: 1099 Total (i.e. Null); 1090 Residual

Null Deviance: 1427

Residual Deviance: 1310 AIC: 1330

Explanation / Answer

To obtain the 95% confidence intervals associated with the attributes trt, c_alcuse, and motivationabstain, you need to use the R function confint which belongs to the MASS package in R.

The code that you need to write is :

confint(or , c("trt" , "C_alcuse" , "motivationabstain") , level = 0.95)

The above code gives the 95% confidence interval for the attributes trt, c_alcuse, and motivationabstain in the model that is stored in the object named 'or'.

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