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Re: st: stdes, SD for time at risk?
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You asked for the SD of "time at risk" as described by -stdes-. Are
you saying now that you meant something different?
I'm not sure what you mean by "visit". If events can happen between
"visits", you have a an interval-censoring or grouped-data setup. If
that is the case, some -st- commands might not apply. Also, "time at
risk" might not be time to the last visit.
I suggest that you create a toy subset of observations in your data
and -stset- it. List the data, and calculate by hand from the listed
variables, "time elapsed" as you want it and descriptive statistics
for time elapsed. When you have done that, come back to the list and
show us the data and computations, including the -stset- commands.
Then perhaps we can help you with further commands to compute the
descriptive statistics.
-Steve
On Feb 2, 2009, at 6:35 PM, MAY BAYDOUN wrote:
Thank you. Yes, I do have a multiple record data. So, that means
each visit has a different time depending on how much time elapsed
from the origin which is 50 years of age. Is there a way to figure
this out with the variables that are created automatically by Stata
(i.e. _t0, _st, _t and _d)? I need to find the time elapsed at last
visit at which each person was at risk and summarize that time for
the whole sample. Thanks for any help you can provide,
--- On Mon, 2/2/09, Steven Samuels <[email protected]> wrote:
From: Steven Samuels <[email protected]>
Subject: Re: st: stdes, SD for time at risk?
To: [email protected]
Date: Monday, February 2, 2009, 5:53 PM
If you have single record data, run -summary- on your
failure time variable. If you have multiple record data,
keep only one record for each person first and then run
-summary-.
n Feb 2, 2009, at 11:52 AM, MAY BAYDOUN wrote:
Hello Statalisters,
I was wondering if you have used the stdes command and
were able to get a standard deviation for time at risk in
addition to mean, median and range. I am not sure if that is
at all possible. Is there another command one can use to get
the SD? Thanks a lot!
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