Meena,
so you receive two measures (outcome information) from one
measurement? Do you consider the two measure as two independet ones?
Regards
Sebastian
On 3/12/07, meena khan <[email protected]> wrote:
Hi,
Each individual is only measured once but the independent SNP variable has 2
measures for each person which is why it grouped in this way. the SNP is
binary so there are 3 possible combinations for each person (00, 01 or 11)
Thanks
Meena
>From: "Sebastian F. Büchte" <[email protected]>
>Reply-To: [email protected]
>To: [email protected]
>Subject: Re: st: logistic regression
>Date: Mon, 12 Mar 2007 11:25:45 +0100
>
>Looking at your example data, your statement "only one variable (SNP)
>is different in each person" appears to be inconsistent with the
>presented data (check rows for id = 2).
>
>I would help a lot to understand how your data is generated. Multiple
>treatments/measurements for a number of subjects? Is this perhaps
>panel data? ...
>
>regards
>sebastian
>
>On 3/12/07, meena khan <[email protected]> wrote:
>>Hello,
>>
>>I have a dataset where all variables are replicated twice for each
>>subject,
>>only one variable (SNP) is different in each person:
>>
>>ID SNP Event X1 X2
>>
>>1 0 0 a a
>>1 1 0 a a
>>2 1 1 b b
>>2 1 1 b b
>>
>>I would like to know if it is correct to cluster by ID in a normal
>>logistic
>>regression model? Conditional logistic regression does not work as when I
>>group it by ID as there is no variation within the groups. The logistic
>>cluster option seems correct to me when I read the Stata help – it adjusts
>>the SEs for intragroup correlation which is what I want. I just want to
>>check if it is right. Thanks
>>
>>Meena
>>
>>
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>>
>
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