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st: missing events in stset
Hi,
I am having some difficulty with -stset-. I'm almost certain that the
fault lies with my data, as this same command has worked before in a
similar dataset. However, I wonder if anyone could give me an idea as to
where I might start looking to find the problem.
I have long data, identified by a variable surveyid. An event is a
consultation with a doctor (kcons_post_3yr==1). Each person enters at
their clinical assessment (edateass) and leaves at their censor time
(censor_date). I know from a tabulation of the data that there are 734
consultations, but when I use -stset- it identifies 730 events. One
person consults at time 0, so I think this person is being ignored - I
understand this. However, this still leaves three events that are
unidentified.
I have 742 people in the dataset so it is including everyone and I have
checked that these consultations are not occurring after the censor
date, so I don't think this is the problem. Also, I have checked that
there are no missing values in any of the variables in the -stset- command.
Is there anything else that could obviously be causing this problem?
Best wishes
Sara
stset cons_dt, id(surveyid) fail(kcons_post_3yr==1) origin(time
edateass) exit(time censor_date)
id: surveyid
failure event: kcons_post_3yr == 1
obs. time interval: (cons_dt[_n-1], cons_dt]
exit on or before: time censor_date
t for analysis: (time-origin)
origin: time edateass
------------------------------------------------------------------------------
16704 total obs.
28 obs. end on or before enter()
------------------------------------------------------------------------------
16676 obs. remaining, representing
742 subjects
730 failures in multiple failure-per-subject data
703420 total analysis time at risk, at risk from t = 0
earliest observed entry t = 0
last observed exit t = 1096
--
Sara Mottram
Research Assistant: Biostatistics
Primary Care Musculoskeletal Research Centre
Primary Care Sciences
Keele University
Staffordshire, ST5 5BG
Tel: +44 (0) 1782 584711
Fax: +44 (0) 1782 583911
Email: [email protected]
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