I was given a cleaned data set and am trying to run a multivariate analysis on a dataset, the individual I am running it for is not sure how to run it, and I have never conducted a multivariate analysis like this before. They have asked that I dodo my best not to recode or clean the data and it is causing me some problems. I have a dichotomous, binary outcome variable (y/n; coded as 1/2) and 8 predictors. The predictors are: age (categorical, 8 categories) sex (2 categories) race (8 categories) systemic disease 1 (1, yes; 2 no; 3 unknown) systemic disease 2 (1, yes; 2 no; 3 unknown) systemic disease 3 (1, yes; 2 no; 3 unknown) insurance (4 categories) Location (45 counties, coded 0-44) Ultimately i am trying to see if any of the predictors have associations with the outcome, if there are any interactions, and if there are any relationships/patterns within a location (for example, are certain locations associated with higher rates of the systemic diseases and if so, is there an effect on the outcome). We have someone to write the code, but we need to provide a list of tests that should be done and I am no statistics wizard so i would love any suggestions on tests our coder should look at. Thank you!
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