Lab 5 Q15

Lab 5 Q15

by Kristyn -

Lab 5 Q15 asks:

"15) Now let’s get an estimate of that same association using a logistic model, including “anycac” (the primary predictor), and “age” and “male” (covariates).  Ignore the potential interaction between anycac and male that we were exploring above, but let’s DO adjust for male.

15a – What’s the anycac-death OR (95% CI), adjusted for age and gender?"

I'm having trouble interpreting the right approach here - should I just type in:

"logistic dead anycac male age" ?

Is the OR for anycac-death then just the first OR line in the readout (2.93, etc)?

Thank you!

Kristyn

 

Re: Lab 5 Q15

by Valy Fontil -

Hi Kristyn

Yes. That looks like the proper command. In logistic regression, the first variable is the outcome variable followed by the predictors (primary and covariates) listed in any order. The OR in each line is the OR of the outcome for each predictor adjusted for the other variables in the model.  In other words,  2.9 is the OR of death for patients with coronary calcification as compared to those without, adjusted for gender and age.  I hope this helps.