Running analyses using R: Logistic Regression

Hello, I need an R expert.

- Edit current code to complete multiple imputations
- Determine what predictors to include in the model from vifs/stepwise regression model
- Ccomplete syntax for logistic regression for 3-month cessation outcome
- Complete syntax for logistic regression for 6-month cessation outcome



I plan to run a logistic regression in R.

subject: veterans (~400)

DV/outcome: 3 month abstinence; 6 month abstinence (dichotomous)

predictor: ADI (area deprivation index) currently in percentiles

covariates/control variables: demographics: (age, sex, race, ethnicity, marital status, demo health rating, fagerstrom/smoking patterns score, history of tobacco use, phq-9, intervention group); individual-level indicators of SES: (annual household income, education level, occupation); access to healthcare (drive distance to nearest VA, drive distance to primary VA)

I am having trouble identifying which steps to do first: I have missingness in my data that I think I will need to do multiple imputations for (planning to use Mice package) but not sure how to do this prior to finalizing which covariates to include in my analysis. Need conceptual help first and then coding help.

Thanks.