Dear all!
May I draw your attention to the next meeting of RSS Highlands Local
Group, which will take place next Thursday (details given below).
Best Wishes
Claus (local group secretary)
-----------------------------------------------------------------------------------------------------------------------------------
SPEAKER and TITLE:
René Holst (DIFRES,Denmark): Analysis of clustered binary data using
estimating equations with an application to gear selectivity
DATE: Thursday, May 2007
TIME: 3pm
VENUE: FRS Marine Laboratory, Aberdeen (for directions, see:
http://www.frs-scotland.gov.uk/Uploads/Documents/FRSdirections.pdf)
ABSTRACT:
The selective properties of trawl fishing gear are commonly assessed by
mounting a small mesh cover over the trawl codend. Fish entering the
gear will therefore end up in the codend or in the cover. An experiment
typically runs over several hauls, forming a clustered structure on the
data. Data from such experiments are thus binary clustered data.
Traditional approaches to the analysis of mixed effects models involve
high dimensional integrals for handling the unobserved random effects.
Except for the normal case these are intractable and are typically
addressed by various approximations.
In the talk I’ll briefly review some of the more important methods and
their philosophical ideas. Secondly I’ll present a method based
estimating equations using BLUP to predict the random effects.
Asymptotic properties and computationally aspects will be discussed.
The method will be demonstrated by an application to some gear
selectivity data.
Keywords: Random Effects Models, Estimating Equations, BLUP, Extended
Poisson Trick, E-M algorithm, Subject Specific and Population Average
Means.
--
***********************************************************************************
Dr Claus-D. Mayer | http://www.bioss.ac.uk
Biomathematics & Statistics Scotland | email: [log in to unmask]
Rowett Research Institute | Telephone: +44 (0) 1224 716652
Aberdeen AB21 9SB, Scotland, UK. | Fax: +44 (0) 1224 715349
***********************************************************************************
|