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st: RE: Forming risksets in matched case control studies
From
Nick Cox <[email protected]>
To
"'[email protected]'" <[email protected]>
Subject
st: RE: Forming risksets in matched case control studies
Date
Wed, 16 Feb 2011 19:46:02 +0000
The first observation of two clear visits is tagged by
bysort id (visits) : gen isclear_visit = (visit == 0) & (visit[_n+1] == 0)
Persons who include such pairs of visits in their history are tagged by
bysort id : egen isclear_id = max(isclear_visit)
Nick
[email protected]
Nasheed Moqueet
My exposure and outcome of interest are both binary. The plan is to do
a conditional logistic regression analysis after matching case and
controls on time and ethnicity. My data is stacked and longitudinal
and I am having trouble figuring out how to code for cases.
A case is someone who is clear for atleast 2 successive visits, so two
0s in visits that are next to each other. However, the problem is as
below. Please help. Thanks.
For example, ID 5 and 7 are both cases, even though ID 7's visits are
not strictly successive.
ID visits status
5 3 1
5 4 0
5 5 0
7 2 0
7 4 0
ID 8 is NOT a case, however, because the 0s are not in successive visits
ID visits status
8 1 1
8 2 0
8 5 1
8 6 0
8 7 1
8 8 0
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