I was hoping to get some advice on identifying consecutive failures in panel data.
I am looking at outcomes of operations to lower pressure in the eye to treat glaucoma. I am interested in identifying individuals who have intraocular pressure (iop) >18 on 2 consecutive occasions. Is this possible ?
I’ve enclosed a simplified example dataset, showing what I’m trying to achieve (fail column)
Thanks (and Merry Xmas)
Ali
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input byte(id visit) int(date_of_surgery date_postop) byte(iop fail) float td byte(_st _d) int _origin byte(_t _t0) 1 1 21640 21642 15 . 2 1 0 21640 2 0 1 2 21640 21643 19 0 3 1 0 21640 3 2 1 3 21640 21644 17 . 4 1 0 21640 4 3 1 4 21640 21645 19 0 5 1 0 21640 5 4 2 1 21645 21646 16 . 1 1 0 21645 1 0 2 2 21645 21647 20 . 2 1 0 21645 2 1 2 3 21645 21648 20 1 3 1 1 21645 3 2 2 4 21645 21649 12 . . 0 . 21645 . . 3 1 21640 21650 13 . 10 1 0 21640 10 0 3 2 21640 21651 13 . 11 1 0 21640 11 10 3 3 21640 21652 15 . 12 1 0 21640 12 11 end format %tdnn/dd/CCYY date_of_surgery format %tdnn/dd/CCYY date_postop
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