st: RE: Duration and average frequency of examination

["Martin Weiss" <martin.weiss@uni-tuebingen.de>]

Duration is the easy one here:

bys id: g duration=ageatvisit[_N]-ageatvisit[1]

But I just do not know what your frequency is supposed to mean. Please
specify...

Martin Weiss
_________________________________________________________________

Diplom-Kaufmann Martin Weiss
Mohlstrasse 36
Room 415
72074 Tuebingen
Germany

Fon: 0049-7071-2978184

Home: http://www.wiwi.uni-tuebingen.de/cms/index.php?id=1130

Publications: http://www.wiwi.uni-tuebingen.de/cms/index.php?id=1131

SSRN: http://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=669945


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of MAY BAYDOUN
Sent: Tuesday, June 10, 2008 7:46 PM
To: statalist@hsphsun2.harvard.edu
Subject: st: Duration and average frequency of examination

Dear statalisters,

I was wondering if you could help me figure out a way
to obtain the frequency at which each individual was
examined (i.e. average number of follow-up visits per
year) and the total duration (i.e. time between first
and last visit) if the dataset is person-period format
and I have the following structure:

id visit age at visit
1  1     30 
1  2     32
1  3     36 
1  4     50
2  1     45
2  2     46
3  3     50
3  4     56 
3  5     60
3  6     65
4  1     42
4  2     48

In other words, the distance in age between visits
varies for each individual, the number of visits is
not the same and the age at baseline varies as well. 

So, I would like to obtain the following variables
(made up numbers for frequencies):

id  Freq Duration
1   0.5   20 
2   0.4   1
3   0.3   15  
4   0.6   6 

The duration for individual 1 for example is:
50-30

The average frequency is the tricky one I guess, it is
for individual 1:
[1/(32-30) + 1/(36-32) + 1/(50-36)]/4

Thanks a lot and hope to hear from you soon,

Sincerely yours,

May


May Baydoun, PhD in Epidemiology (UNC-Chapel Hill) 
Staff Scientist,
  National Institute on Aging, NIH/IRP,  Biomedical
Research Center,
  Baltimore, MD




May Baydoun, PhD in Epidemiology (UNC-Chapel Hill)  Staff Scientist,
National Institute on Aging, NIH/IRP,  Biomedical Research Center,
Baltimore, MD


      
*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/

*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/