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

[hidden email]
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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