I’m fairly inexperienced with programming/data analysis and I’m unsure of how to proceed with my dataset. Hopefully I’m posting in the correct subreddit.
I’m using a national inpatient hospital database (NIS database) to analyze at how a specific procedure volume changed pre vs. post COVID. I’ve already combined the years I’m looking at (2018-2021), filtered the data for only the procedure code I’m interested in, introduced a time period variable (2018/2019 =1, 2020/2020 =2) and weighed my cases by the “discharge weight” variable to represent population estimates. At this point, each row is basically a count for the procedure.
Now I’m stuck and don’t know what kind of statistical analysis I should be doing and what variables to use. I’ve played around with using independent t test using time period x discharge weights, thinking that each row x discharge weight = estimate of procedures, but I’m not really sure if that’s right.
I’d appreciate it if someone could please help me with this.
submitted by /u/igneouscloud
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