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  • #1

    Using ologit and regress when the assumption of independence of observations is violated?

    Hello! I was hoping to get some advice on whether using ologit/regress/poisson is okay even when violating the assumption of independent observations.

    I’m trying to ascertain the effect of an educational intervention on test scores for a sample of 100 participants. I have information on pre-test scores, immediate post-test scores, and scores from tests performed 3 months post-intervention.

    The immediate pre and post scores are recorded with associated subject identifiers (n=100 for each). The 3 month post-test data has only 38 observations and no identifiers, but does include sex/age/race/specialty/etc.

    What I ended up doing was reshaping the data to long format, then running -ologit- predicting ConFL (1-5 score) as a function of trial (1 = pre-intervention, 2=post, 3=3 months out) and sex/age/race/specialty/discipline. I felt like this gave me the most information about the isolated effect of "trial" on the DV:

    -ologit ConFL i.trial age i.discipline i.race sex i.specialty-


    The other dependent variables of interest were ConFD, Overall, CancerLSS, CancerDSS, InflamLSS, InflamDSS, InfectLSS, InfectDSS, SOCLSS, SOCDSS, LSS, and DSS; was planning on doing the same analysis for each, but using either -poisson- or -regress- for LSS, DSS, and Overall since the range of possible values is much wider.

    Would this approach be acceptable for a publication if I note that the assumption of independence is violated?


    Code:
    * Example generated by -dataex-. For more info, type help dataex
clear
input byte(trial sex age race specialty discipline ConFL ConFD Overall CancerLSS CancerDSS InflamLSS InflamDSS InfectLSS InfectDSS SOCLSS SOCDSS LSS DSS)
3 0 2 4 3 3 5 4 40 3 3 8 8 5 5 4 4 20 20
3 0 3 2 2 1 2 2 11 2 1 1 0 1 1 3 2  7  4
3 1 5 1 2 4 3 3 30 3 2 6 5 4 3 4 3 17 13
3 0 3 1 6 1 3 3 21 2 0 6 3 3 2 3 2 14  7
3 0 4 1 2 4 2 2 28 3 1 6 4 3 3 4 4 16 12
3 0 2 1 3 5 1 1 22 3 1 4 3 3 2 2 4 12 10
3 1 3 1 2 4 4 3 27 2 2 6 4 3 3 4 3 15 12
3 1 2 3 4 3 2 2 25 2 2 5 3 3 3 4 3 14 11
3 0 2 4 2 4 3 3 27 2 2 6 5 2 2 4 4 14 13
3 1 5 1 5 4 3 2 26 2 3 4 5 4 2 3 3 13 13
3 0 2 1 6 3 2 1 26 3 3 4 4 3 3 3 3 13 13
3 1 2 1 3 3 3 3 38 3 3 8 8 4 4 4 4 19 19
3 0 2 4 4 3 3 2 24 2 2 6 4 3 1 3 3 14 10
3 0 3 3 3 4 4 3 39 2 3 8 8 5 5 4 4 19 20
3 0 5 1 1 4 3 2 35 2 2 8 6 5 4 4 4 19 16
3 1 4 1 5 4 3 2 27 3 1 6 4 3 3 4 3 16 11
3 0 2 1 2 3 2 2 36 3 3 6 7 4 5 4 4 17 19
3 0 2 5 4 3 3 2 30 2 2 7 7 2 2 4 4 15 15
3 0 2 1 3 4 5 3 39 3 3 8 8 4 5 4 4 19 20
3 0 2 1 4 3 3 3 32 2 2 6 7 4 3 4 4 16 16
3 0 2 2 2 3 3 3 26 1 2 6 4 4 2 3 4 14 12
3 0 2 2 6 3 2 2 25 1 2 5 4 2 4 4 3 12 13
3 0 2 4 1 1 2 2 29 3 2 7 5 4 2 3 3 17 12
3 0 5 1 4 1 2 2 30 2 1 7 6 5 2 3 4 17 13
3 0 2 4 4 3 3 2 23 3 1 5 4 2 2 3 3 13 10
3 0 2 2 1 1 2 2 30 3 1 7 7 2 2 4 4 16 14
3 0 2 1 6 1 3 2 29 3 3 4 6 3 4 3 3 13 16
3 0 2 1 6 1 3 2 26 3 1 7 5 2 2 3 3 15 11
3 0 2 4 4 3 3 3 30 2 1 6 7 4 3 3 4 15 15
3 0 3 1 5 6 4 3 35 3 3 8 6 4 3 4 4 19 16
3 1 3 1 4 1 1 1 22 2 2 4 4 2 4 2 2 10 12
3 0 2 1 3 3 4 2 33 2 2 8 7 3 4 3 4 16 17
3 0 2 1 4 3 3 2 27 3 1 5 5 3 3 3 4 14 13
3 0 3 1 4 1 3 2 18 0 1 4 4 0 2 4 3  8 10
3 0 2 4 1 1 1 1 27 3 2 4 5 2 3 4 4 13 14
3 0 2 1 4 1 2 2 15 0 2 5 3 2 1 1 1  8  7
2 1 3 1 3 4 5 3 38 3 2 8 7 5 5 4 4 20 18
2 0 2 1 3 4 5 5 39 3 3 8 8 4 5 4 4 19 20
2 1 2 1 3 3 5 5 35 3 3 8 6 3 4 4 4 18 17
2 1 3 3 3 3 5 4 39 3 3 8 8 5 4 4 4 20 19
2 0 4 1 2 4 3 3 35 3 2 7 7 5 3 4 4 19 16
2 0 2 2 3 3 4 3 38 2 2 8 8 5 5 4 4 19 19
2 0 3 1 1 1 3 3 30 3 2 7 6 4 2 3 3 17 13
2 1 9 1 2 6 3 3 27 2 1 6 6 3 3 4 2 15 12
2 1 3 1 2 4 4 4 23 2 1 4 5 2 3 3 3 11 12
2 0 2 4 2 3 2 2 27 3 3 5 5 2 3 3 3 13 14
2 0 2 4 2 4 3 3 28 2 2 6 6 3 1 4 4 15 13
2 0 2 1 2 3 3 3 30 2 1 8 8 2 1 4 4 16 14
2 0 2 3 3 6 3 3 22 2 1 7 5 0 2 3 2 12 10
2 1 2 1 3 3 4 3 40 3 3 8 8 5 5 4 4 20 20
2 1 3 3 2 3 2 2 34 2 2 8 7 4 3 4 4 18 16
2 0 5 1 1 4 3 3 33 2 2 8 5 4 4 4 4 18 15
2 0 2 1 3 5 3 2 25 1 1 6 5 2 3 4 3 13 12
2 1 3 3 5 4 3 3 22 2 1 6 4 3 1 2 3 13  9
2 0 4 4 6 4 3 3 33 3 2 7 6 5 2 4 4 19 14
2 1 3 1 5 3 2 2 30 3 2 7 5 3 2 4 4 17 13
2 0 2 1 4 3 3 3 33 3 2 7 7 4 2 4 4 18 15
2 0 2 5 4 3 4 3 29 3 3 8 5 1 2 3 4 15 14
2 1 2 1 5 3 3 3 32 3 2 8 7 3 2 4 3 18 14
2 0 3 1 5 4 3 2 31 2 2 6 7 4 2 4 4 16 15
2 1 2 1 5 3 3 3 20 1 2 4 3 1 1 4 4 10 10
2 0 2 1 6 3 3 2 27 2 1 6 5 4 1 4 4 16 11
2 1 3 1 5 4 3 3 31 2 2 6 6 3 4 4 4 15 16
2 0 4 4 2 4 3 3 29 2 2 8 6 3 1 3 4 16 13
2 1 2 1 5 4 3 2 27 2 1 6 6 4 2 3 3 15 12
2 0 2 2 2 3 3 3 25 3 3 4 4 3 0 4 4 14 11
2 1 2 3 4 3 3 3 28 2 2 7 2 4 3 4 4 17 11
2 0 2 3 3 5 1 1 19 2 2 3 3 1 2 3 3  9 10
2 0 3 3 3 4 5 4 39 3 2 8 8 5 5 4 4 20 19
2 0 2 1 6 2 3 2 27 2 2 7 5 2 1 4 4 15 12
2 0 1 1 6 2 2 2 22 3 1 3 4 4 2 1 4 11 11
2 0 2 2 2 2 5 5 27 2 2 6 5 2 3 3 4 13 14
2 0 2 1 3 2 4 3 35 3 2 7 7 5 4 3 4 18 17
2 0 3 1 3 5 2 1 19 2 1 5 5 0 0 2 4  9 10
2 0 4 1 1 1 3 3 29 3 2 7 5 2 2 4 4 16 13
2 0 2 1 6 1 3 3 30 3 3 5 4 4 3 4 4 16 14
2 0 9 1 1 1 4 4 35 3 3 7 6 5 3 4 4 19 16
2 0 3 1 6 1 3 3 32 3 2 6 6 5 2 4 3 19 13
2 0 2 1 2 1 2 2 22 3 2 4 3 2 2 3 3 12 10
2 0 2 1 6 1 4 3 32 2 2 8 5 4 3 4 4 18 14
2 0 2 1 5 4 3 3 25 1 2 6 4 4 1 3 4 14 11
2 0 3 1 6 1 3 2 30 3 1 6 5 3 4 4 4 16 14
2 0 3 5 6 1 2 2 23 1 2 4 4 2 1 4 4 12 11
2 1 3 1 6 1 2 2 17 2 2 4 3 1 0 2 3  9  8
2 0 3 2 2 1 2 2 16 1 1 3 3 2 1 3 2  9  7
2 1 3 1 1 1 2 2 24 1 2 7 5 2 1 3 3 13 11
2 0 2 1 3 5 3 3 29 3 1 6 6 4 2 4 3 17 12
2 0 3 1 6 1 4 3 33 3 2 6 6 5 2 4 4 19 14
2 0 2 4 4 3 3 2 25 2 2 6 6 2 1 2 4 12 13
2 1 3 1 6 1 3 2 28 3 2 5 6 2 3 4 3 14 14
2 0 3 3 1 1 2 2 35 3 3 8 7 4 2 4 4 19 16
2 1 5 1 5 4 3 2 26 2 2 4 6 4 2 3 3 13 13
2 0 2 4 4 3 4 3 29 3 2 6 6 2 2 4 4 15 14
2 0 4 1 6 1 2 2 28 2 1 7 4 3 3 4 4 16 12
2 0 4 1 1 1 3 3 31 3 2 6 6 4 2 4 3 18 13
2 0 2 1 6 3 2 2 34 3 2 5 7 4 5 4 4 16 18
2 0 3 4 1 1 3 2 22 3 1 5 4 3 0 3 3 14  8
2 0 3 3 4 1 4 3 18 2 1 3 3 2 1 3 3 10  8
2 0 4 1 4 1 2 2 27 3 1 5 6 2 3 3 4 13 14
2 1 2 1 4 3 3 3 30 2 2 5 6 4 3 4 4 15 15
2 0 3 1 6 2 2 1 32 3 1 8 6 2 4 4 4 17 15
2 1 2 1 4 3 3 2 30 2 1 6 6 4 3 4 4 16 14
2 0 2 4 6 2 3 2 30 3 2 6 6 2 3 4 4 15 15
2 0 2 1 4 6 4 3 32 2 2 8 6 3 3 4 4 17 15
2 0 2 2 6 3 3 2 28 1 2 7 5 3 2 4 4 15 13
2 1 1 1 1 2 3 2 30 2 2 6 6 3 3 4 4 15 15
2 0 2 1 6 1 3 3 31 3 1 8 6 2 3 4 4 17 14
2 0 5 1 6 1 2 2 32 3 1 8 6 4 3 4 3 19 13
2 0 3 2 1 1 2 2 31 2 2 8 6 2 3 4 4 16 15
2 0 4 1 1 1 4 3 29 3 1 8 7 4 1 3 2 18 11
2 0 3 1 4 1 2 2 24 1 1 6 6 2 2 3 3 12 12
2 1 3 1 1 1 2 2 27 3 1 7 6 2 2 4 2 16 11
2 0 2 4 1 1 2 2 30 3 3 7 4 4 2 3 4 17 13
2 0 2 4 4 3 3 3 25 2 0 6 5 3 2 3 4 14 11
2 1 3 3 2 1 3 3 32 1 3 8 6 4 2 4 4 17 15
2 0 3 1 4 1 4 3 34 3 1 8 6 4 4 4 4 19 15
2 0 5 1 6 1 2 2 25 3 2 6 4 3 2 2 3 14 11
2 0 5 1 3 4 4 4 39 3 2 8 8 5 5 4 4 20 19
2 0 4 1 6 1 3 3 16 2 1 3 3 1 0 2 4  8  8
2 1 3 1 4 1 3 3 26 1 2 5 6 3 2 3 4 12 14
2 0 2 1 6 1 3 2 29 3 3 6 4 3 4 3 3 15 14
2 0 2 1 2 4 3 3 29 3 2 6 7 2 2 4 3 15 14
2 0 3 1 6 1 3 3 26 3 1 7 5 2 3 2 3 14 12
2 0 3 1 4 1 2 2 19 2 1 3 4 0 1 4 4  9 10
2 0 3 4 6 1 3 3 25 3 2 5 3 3 1 4 4 15 10
2 0 2 1 3 2 3 2 35 2 2 8 7 4 4 4 4 18 17
2 0 2 1 4 1 3 2 23 3 2 5 5 1 1 2 3 12 11
2 0 2 1 4 3 3 2 29 2 1 7 5 3 3 4 4 16 13
2 0 2 1 5 3 2 2 32 3 2 8 4 4 3 4 4 19 13
2 0 4 5 5 4 3 2 33 3 2 8 8 3 4 2 3 16 17
2 0 2 4 1 1 2 2 28 3 2 4 5 2 4 4 4 13 15
2 0 2 1 4 2 3 3 29 2 2 7 5 3 3 3 4 15 14
2 1 1 5 6 2 3 3 19 2 2 3 3 2 0 3 4 10  9
2 0 2 5 4 3 3 2 26 3 3 6 4 2 0 4 4 15 11
2 0 2 1 6 1 2 2 20 1 2 4 5 1 0 4 3 10 10
2 0 2 2 1 1 2 1 30 3 1 7 7 2 2 4 4 16 14
1 1 3 1 3 4 5 3 39 3 3 8 7 5 5 4 4 20 19
1 0 2 1 3 4 5 4 39 3 3 8 8 4 5 4 4 19 20
1 1 2 1 3 3 5 5 35 3 3 8 7 2 4 4 4 17 18
1 1 3 3 3 3 5 3 39 3 3 8 8 5 4 4 4 20 19
1 0 4 1 2 4 3 3 31 3 1 6 6 4 3 4 4 17 14
1 0 2 2 3 3 4 3 38 2 3 8 8 4 5 4 4 18 20
1 0 3 1 1 1 3 2 23 3 1 6 5 4 2 1 1 14  9
1 1 9 1 2 6 3 3 25 3 2 6 5 2 2 3 2 14 11
1 1 3 1 2 4 4 3 23 2 0 5 6 3 1 3 3 13 10
1 0 2 4 2 3 2 1 31 3 2 6 5 4 3 4 3 17 14
1 0 2 4 2 4 3 2 26 2 3 5 6 3 1 3 3 13 13
1 0 2 1 2 3 3 2 30 2 3 7 5 2 2 4 4 15 15
1 0 2 3 3 6 2 2 23 3 1 7 3 1 1 3 4 14  9
1 1 2 1 3 3 4 3 39 2 3 8 8 5 5 4 4 19 20
1 1 3 3 2 3 2 2 30 1 2 8 4 5 3 3 4 17 13
1 0 5 1 1 4 3 2 31 3 2 8 5 4 3 3 3 18 13
1 0 2 1 3 5 2 1 16 1 1 5 1 1 0 4 3 11  5
1 1 3 3 5 4 3 2 23 1 1 5 5 1 2 4 4 11 12
1 0 4 4 6 4 3 3 32 3 1 7 6 5 3 3 4 18 14
1 1 3 1 5 3 2 2 30 2 2 7 5 4 2 4 4 17 13
1 0 2 1 4 3 3 2 31 3 2 6 5 4 2 4 4 17 14
1 0 2 5 4 3 3 1 24 2 2 5 4 2 2 3 4 12 12
1 1 2 1 5 3 2 2 23 3 2 6 4 2 3 2 2 13 10
1 0 3 1 5 4 3 1 24 2 1 5 5 2 1 4 4 13 11
1 1 2 1 5 3 3 2 21 2 1 4 3 2 2 4 3 12  9
1 0 2 1 6 3 2 1 25 1 2 5 4 4 3 3 3 13 12
1 1 3 1 5 4 3 2 28 2 2 6 6 3 3 3 3 14 14
1 0 4 4 2 4 3 3 25 1 1 6 6 3 1 4 3 14 11
1 1 2 1 5 4 3 2 24 3 1 5 6 4 1 2 2 14 10
1 0 2 2 2 3 2 1 22 2 2 4 3 3 2 3 3 12 10
1 1 2 3 4 3 2 2 23 2 2 5 2 4 3 3 2 14  9
1 0 2 3 3 5 1 1 14 2 0 2 2 1 1 4 2  9  5
1 0 3 3 3 4 5 4 36 2 2 7 7 5 5 4 4 18 18
1 0 2 1 6 2 2 1 24 1 2 5 4 2 2 4 3 12 12
1 0 1 1 6 2 2 1 18 1 1 2 3 2 3 1 4  6 12
1 0 2 2 2 2 4 3 31 2 2 6 6 4 4 4 3 16 15
1 0 2 1 3 2 3 1 29 3 1 7 4 3 4 3 4 16 13
1 0 3 1 3 5 2 1 22 2 2 4 4 0 2 3 4  9 13
1 0 4 1 1 1 2 2 26 2 1 6 5 3 2 4 3 15 11
1 0 2 1 6 1 3 3 27 3 2 4 2 4 4 4 4 15 12
1 0 9 1 1 1 4 4 34 3 3 7 6 4 3 4 4 18 16
1 0 3 1 6 1 3 3 21 3 0 4 3 3 2 3 3 13  8
1 0 2 1 2 1 2 1 21 3 1 4 5 1 2 3 2 11 10
1 0 2 1 6 1 4 2 21 3 1 4 2 3 3 3 3 13  8
1 0 2 1 5 4 4 2 20 1 1 4 3 4 0 3 3 12  8
1 0 3 1 6 1 3 2 30 3 2 7 5 3 3 4 4 17 13
1 0 3 5 6 1 2 1 25 1 2 4 4 3 2 4 4 12 13
1 1 3 1 6 1 1 1  9 1 0 2 2 1 0 2 0  6  3
1 0 3 2 2 1 1 1 10 1 1 3 1 1 0 2 1  7  3
1 1 3 1 1 1 1 1 22 1 2 5 5 2 1 3 3 11 11
1 0 2 1 3 5 2 2 29 3 1 6 6 4 2 4 3 17 12
1 0 3 1 6 1 4 3 29 3 1 6 4 4 3 4 4 17 12
1 0 2 4 4 3 2 1 23 2 2 5 4 3 2 2 3 12 11
1 1 3 1 6 1 3 3 18 3 2 3 2 0 3 2 3  8 10
1 0 3 3 1 1 2 1 31 1 3 8 7 4 2 3 3 16 15
1 1 5 1 5 4 3 2 24 3 1 4 4 4 2 3 3 14 10
1 0 2 4 4 3 2 1 26 3 1 7 5 3 2 2 3 15 11
1 0 4 1 6 1 1 1 19 1 1 6 1 3 2 2 3 12  7
1 0 4 1 1 1 1 1  4 1 1 0 0 1 1 0 0  2  2
1 0 2 1 6 3 2 1 30 3 2 5 7 3 4 3 3 14 16
1 0 3 4 1 1 2 2 17 1 0 4 3 4 0 3 2 12  5
1 0 3 3 4 1 4 3 18 2 3 3 3 1 1 2 2  8 10
1 0 4 1 4 1 2 1 23 3 2 5 2 2 3 3 3 13 10
1 1 2 1 4 3 3 2 24 2 2 5 4 3 3 3 2 13 11
1 0 3 1 6 2 2 1 27 2 1 7 5 4 2 2 3 15 12
1 1 2 1 4 3 2 1 31 2 2 6 5 4 4 3 4 15 16
1 0 2 4 6 2 4 2 25 2 1 5 5 3 2 4 3 14 11
1 0 2 1 4 6 3 3 25 3 1 6 4 2 3 4 2 15 10
1 0 2 2 6 3 3 2 25 1 2 5 5 4 2 4 2 14 11
1 1 1 1 1 2 3 1 23 3 1 5 4 1 3 3 4 12 11
1 0 2 1 6 1 3 2 24 3 1 6 2 2 4 3 3 14 10
1 0 5 1 6 1 1 1 31 2 1 8 6 4 3 4 3 18 13
1 0 3 2 1 1 2 1 28 2 1 8 5 2 4 3 3 15 13
1 0 4 1 1 1 4 3 25 3 1 6 4 3 1 4 3 16  9
1 0 3 1 4 1 2 1 22 2 1 5 4 2 1 4 2 13  9
1 1 3 1 1 1 1 1 20 1 1 5 4 2 1 4 2 12  8
1 0 2 4 1 1 2 2 26 3 3 5 4 4 2 2 3 14 12
1 0 2 4 4 3 4 2 25 3 0 5 5 3 2 2 4 13 12
1 1 3 3 2 1 3 3 28 2 1 7 5 4 2 4 3 17 11
1 0 3 1 4 1 4 2 32 3 1 8 6 4 3 4 3 19 13
1 0 5 1 6 1 2 2 13 1 0 5 2 1 1 2 0  9  4
1 0 5 1 3 4 4 4 39 3 2 8 8 5 5 4 4 20 19
1 0 4 1 6 1 2 1 13 3 0 5 2 1 1 1 0 10  3
1 1 3 1 4 1 2 1 19 1 1 3 5 2 2 3 2  9 10
1 0 2 1 6 1 3 2 27 3 3 5 3 3 4 4 3 15 12
1 0 2 1 2 4 3 1 20 3 0 5 3 2 2 2 3 12  8
1 0 3 1 6 1 3 1 25 1 2 6 5 2 4 2 3 11 14
1 0 3 1 4 1 1 1 14 2 1 1 2 1 1 3 3  7  7
1 0 3 4 6 1 2 2 15 1 0 2 1 3 2 4 2 10  5
1 0 2 1 3 2 3 1 32 2 2 8 7 3 3 4 4 17 15
1 0 2 1 4 1 2 1 13 1 0 5 3 2 1 2 0 10  3
1 0 2 1 4 3 3 2 29 2 1 6 6 3 2 4 4 15 14
1 0 2 1 5 3 2 3 28 3 1 6 4 4 3 3 4 16 12
1 0 4 5 5 4 3 2 34 3 2 8 6 4 4 4 3 19 15
1 0 2 4 1 1 2 1 28 3 2 4 5 2 4 4 4 13 15
1 0 2 1 4 2 3 2 18 1 2 4 0 4 1 3 3 12  6
1 1 1 5 6 2 2 1 11 1 1 1 1 2 1 1 3  5  6
1 0 2 5 4 3 2 1 21 1 2 6 4 2 1 3 2 12  9
1 0 2 1 6 1 2 2 18 2 1 4 4 1 0 3 3 10  8
1 0 2 2 1 1 2 1 30 3 1 7 7 2 2 4 4 16 14
end
label values sex sex
label def sex 0 "Female", modify
label def sex 1 "Male", modify
label values age age
label def age 1 "18-24 years", modify
label def age 2 "25-34 years", modify
label def age 3 "35-44 years", modify
label def age 4 "45-54 years", modify
label def age 5 "55-64 years", modify
label def age 9 "Prefer not to answer", modify
label values race race
label def race 1 "White", modify
label def race 2 "Black", modify
label def race 3 "Latino", modify
label def race 4 "Asian", modify
label def race 5 "Other", modify
label values specialty specialty
label def specialty 1 "Family Medicine", modify
label def specialty 2 "Internal Medicine", modify
label def specialty 3 "Dermatology", modify
label def specialty 4 "Pediatrics", modify
label def specialty 5 "Emergency Medicine", modify
label def specialty 6 "Other", modify
label values discipline discipline
label def discipline 1 "Advanced Practice Provider", modify
label def discipline 2 "Medical Student", modify
label def discipline 3 "Resident", modify
label def discipline 4 "Attending", modify
label def discipline 5 "Nurse", modify
label def discipline 6 "Other", modify
    Thank you!
    Tags: None
  • #2
    Well, in a better world, you would have identifiers for the 3-month follow-up and you would use -xtreg-,-xtpoisson-, etc. to better account for the nesting of observations within people.

    Given that you don't have that, I would at least use the -vce(robust)- option with the -regress- and -poisson- analyses. This will at least partially account for the lack of independence.

    I think, also, I would do another analysis that omits the 3-month follow-up, and use the -xt- commands on this data, for which, if I understand correctly, you do have identifiers, as a "sanity check."

    Comment

    • #3
      Thanks so much for your very quick response! That sounds like a plan, much appreciated; I'll run that additional analysis with subject identifiers for the pre- and post- observations as well, as you suggested.

      Comment

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