It seems to me that you already found out how to run a stepwise
analysis. So what is the question? Finding out more about the odds ratio
seems best addressed by further study of logit/logistic modelling texts
and papers in your field.
On a point of detail: I think that these days logit models of the kind
discussed here wouldn't qualify as "multivariate". The meaning has
shifted from the classic "many variables" to the modern "many responses"
-- and you have one response.
See Frank Harrell's book "Regression modelling strategies" (Springer,
New York 2001) for a trenchant critique of the stepwise strategy.
Nick
[email protected]
Scott Gilmore
I have a dataset of N=50 patients and 20 variables. 13 are categorical
and 7 are continuous variables. I have no missing values. My outcome
is one of the variables and it is a binary outcome, 1= yes disease, 0=
no disease.
I want to run an analysis for multivariate predictors of disease. Using
logistic regression and doing a backwards stepwise multivariate
analysis.
I used the commands:
sw logistic var1 var2 var3 var4 var5, pr(0.5)
where var1=the outcome variable (binary)
var2= categorical (1,2,3,4,5)
var3= continuous
var4= categorical
and so forth.
I am not sure how to interpret the Odds Ratio and don't quite understand
what I am getting.
Can someone please explain to me how to run a backward stepwise
multivariate analysis on my specific dataset.
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