I have data for opioid overdose before the pandemic and after pandemic. I have ran my data through regression with dummy variable being month without covid 0 and months with covid 1.
But I am very new to sas and this week I been reading about interrupted time series using proc autoreg or poison regression. I want to try to run all my data again using the interrupted time series. For my data I am using quarters for the years 2017-2021 labeling them 1-20. Then for my dependent variable I am using number of overdose deaths. For months representing covid 1 and months without covid 0. And lastly pre-and post which pre is 0 and post months are 1,2,3….7.My data looks like this
6 | 1 | 0 | 0 |
5 | 2 | 0 | 0 |
8 | 3 | 0 | 0 |
9 | 4 | 0 | 0 |
5 | 5 | 1 | 1 |
7 | 6 | 1 | 2 |
that is just sample of my data.
first column my = y
second column = months
third column = pre covid and onset covid for the months
fourth column = onset of covid
y=Bo+B1T+B2X+B3TX
i tried this code
Data y;
Input y time covid intervention;
Cards;
Proc autoreg data=y
Model y=time covid intervention/ nag=2 method=ml;
Run;
But I think I am doing something wrong because the results are off. Thanks for any help!
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