Message-ID: <Pine.LNX.4.64.1103311239580.12314@orpheus.qimr.edu.au>
Date: 2011-03-31T02:49:19Z
From: David Duffy
Subject: generalized mixed models with proportion data using lme4
In-Reply-To: <AANLkTinQx=p3A4gbRngZGLDXHm_OcC4tGoN6dQvqKdFt@mail.gmail.com>
On Wed, 30 Mar 2011, Sacha Heath wrote:
> - Also, I realize I incorrectly cited p-values from glmer summary
> tables (instead of those derived from, for example, LR tests); the
> p-value for Treatment derived from the Likelihood Ratio test was
> p=0.01, which is even more ambiguous, but my main points / questions
> remain the same.
Have you done the permutation test within your pairs? I think that
answers your main question.
I don't see why you wish to go to repeated measures modelling of
individual leaves, unless you think the distribution of damage might be
different under the nets, in which case you would need an appropriate
interaction term in the RE part.
Just 2c, David Duffy.
--
| David Duffy (MBBS PhD) ,-_|\
| email: davidD at qimr.edu.au ph: INT+61+7+3362-0217 fax: -0101 / *
| Epidemiology Unit, Queensland Institute of Medical Research \_,-._/
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