Period effect within binary logistic regression

data analysis modeling strategy
1

Hi,

We would like to compare two different procedures used to treat some condition, but these were administered during different time periods (old treatment was at an earlier period: 2014-15, new treatment at later period: 2017-19).

As this is not a time-to-event study, we use a binary logistic regression. Is there any way, one can handle (quantify, adjust, etc), to some extent, the period effect?

Appreciate any ideas.

nelly

2

Time is completely confounded with treatment in your sample. There is no way to salvage that.

3

I guess this shall be a limitation we can’t take care of. Thank you Frank

4

That’s right. The data will not be usable for your purpose unless you can show from data and from much extra-data information that the time trend is flat.

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