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Re: st: nested design and logistic regression


From   "Denis Haine" <[email protected]>
To   [email protected]
Subject   Re: st: nested design and logistic regression
Date   Wed, 05 Jul 2006 18:33:01 -0600

I'm not sure -nlogit- would do for my problem. With -nlogit-, as explained in the manual, the decisions in later levels are limited by those made in earlier levels and there's no repetiton of the decision in a specific level. Here, maternal parents have or have not a treatment and their offspring are receiving the same treatment, at high or low dose. So you have 4 groups: treated mother-offspring high dose, treated mother-offspring low dose, not treated mother-offspring high dose, not treated mother-offspring low dose.

Denis



From: "Clive Nicholas" <[email protected]>
Reply-To: [email protected]
To: [email protected]
Subject: Re: st: nested design and logistic regression
Date: Wed, 5 Jul 2006 23:44:04 +0100 (BST)

Denis Haine wrote:

> I have a 2 factors nested design model, where treatment received by
> siblings
> (low dose vs. high dose) is nested in same treatment received by their
> maternal parents (received or not). I could fit an anova for nested design
> for a continuous dependent variable, e.g. anova y trt_mat /
> trt_sib|trt_mat
> /, but how to fit a logistic regression taking into account this nesting
> of
> the 2 treatments if I have a binary dependent variable?

I am _not, in any way_, an expert in nested logit models, but would not
-nlogit- help here? See -whelp nlogit-. If not, I retire.

CLIVE NICHOLAS |t: 0(044)7903 397793
Politics |e: [email protected]
Newcastle University |http://www.ncl.ac.uk/geps

Whereever you go and whatever you do, just remember this. No matter how
many like you, admire you, love you or adore you, the number of people
turning up to your funeral will be largely determined by local weather
conditions.

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