I am having some trouble properly setting up my data for a nested case-control study using the st commands. I am trying to determine possible predictors of intramedullary nail breakage. These will serve as my cases. They will be matched to controls on the following parameters: gender, bone affected, and age. My dataset also has surgery date and follow-up date, and I have used these two dates to calculate days between surgery to follow-up, which I will also be matching on (days_btwn_surgery_fu). I will be comparing and running my analyses on the remaining variables in my dataset. Additionally, my data is set up in a way that it has multiple rows per patient if they had followed up at the hospital numerous times.
These are the commands I have been using:
Ideally, I’d be setting a seed so I can replicate the match.
My question is whether or not I have set up st command properly. I have read up on snapspan and stjoin, which are related commands that can clean up my data, but I am unsure whether or not I need to use them in this context.
These are the commands I have been using:
Code:
. stset days_btwn_surgery_fu, failure(broken_nails_cases) id (CaseID) . sttocc CaseID, match (Gender bone age days_btwn_surgery_fu)
Ideally, I’d be setting a seed so I can replicate the match.
My question is whether or not I have set up st command properly. I have read up on snapspan and stjoin, which are related commands that can clean up my data, but I am unsure whether or not I need to use them in this context.
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