multivariate logistic regression

[Amin Saad]

Dear Stata users,

I have a project with multiple independent variables and one binary outcomes that I want to assess I am interested in looking for the predictors.
here is what I have done
1- check and visualize data.
2-converted multi-categorical variables into multiple dummy variables.
3-categorized most continuous variables.
4-assessed the association between the independent variables and the outcomes using logistic regression.
5 advanced those variables with P <0.1 (I have reach to this point)
6 assessed for co-linearity
7 form your final multivariate log regression using "mvreg" function.

question 1: is this process correct? is there anything that I should do or adjust?
question 2: mvreg is giving coef. Is there a way to convert them into Odds Ratios, apart from doing it manually?
question 3: As I was searching for a way to get OR, I tried logit and regress functions for the same independent variable and outcome and I got different coef. Am I doing itwrong ?

I really appreciate your feedback

Amin

thanks

[Roman Mostazir]

The term 'multivariate' is actually preserved for 'multiple-outcome' variables. If you have a binary outcome variable, that is a logistic regression model and with several predictors/independent variables, should be called binary logistic multiple regression model. For the correct command type

 logit outcome independent variables, or

. The 'or' option will provide you the Odds Ratio. To get the Odds Ratio without the 'or' option, type

logistic outcome independent variables

'regress' is for linear outcome variable and not recommended for binary outcomes.