Hi,
I had posted this question some time ago. Unfortunately I haven`t as yet
found an
adequate solution (consulted quite a few statisticians!!), hence am posting
it again.
I have the following repeated measures data set:
ID Y(continuous) Time (mths) X (categorical)
1 y11 3 1
1 y12 3 1
1 y13 3 1
2 y21 3 0
2 y22 3 0
3 y21 3 2
3 y22 3 2
.
.
.
.
10 y101 6 0
10 y102 6 0
11 y111 6 1
11 y112 6 1
and so on:
Essentially the response variable is measured repeatedly at 1 time point
(say 3 months) on a group of individuals and the same done for another set
of individuals at another time point (say 6 months). There are only 3 time
points (3, 6 and 12 months). This is unlike a normal panel data set where
measures are repeated on the same individuals over time.
This is like a survey carried out among different populations at different
times with a repeated measures entity.
The objective is:
1. To compare the rate of change in the response variable within groups
defined by the X variable.
Earlier it was kindly suggested to look into the use of 'psuedo panel
methods'. However in order to implement the latter I understand one will
need to have many time points (only 3 here). Any suggestions on the
appropriate methods to implement will be kindly appreciated.
Thanks.
P.S. I have attempted to send this message in a format other than HTML/MIME.
Hopefully it is understandable.
Devendra Amre MD, Ph.D.
Assistant Professor/Chercheur Adjoint
Epidemiology/Dept of Pediatrics
Sainte Justine Hospital
3175, Cote Sainte Catherine
Montreal-Canada H3T 1C5
Voice: 514 345 4931 extn 3599
Fax: 514 345 4801
[email protected]
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