[R] glm and capture-recapture

[Prof Brian D Ripley]

On Tue, 25 Jul 2000, dim.brumath wrote:

> Hello,
> 
> I am almost new in R, so perhaps my question will be silly.
> 
> I try to use R for analyzing capture-recapture data in epidemiology. A cancer registry has different sources of patients. We know in each list, patients already known in all other list. The aim is to use capture-recapture models for estimating the number of patients unknow of all the sources.
> 
> Because no order in sources, one cannot use classical models for closed animal populations (models M(bht) of Otis ) so I use hierarchical loglinear model, moreover for controlling interactions (dependence) between sources. For me it sound a little strange when I read in papers that authors use 'glm' and 'predict' for this problem even if I know that loglinear are in generalized linear model.
> 
> Why don't use 'loglin'? 

The user interface to loglin is nigh-impenetrable. `loglm' in package MASS
is a friendlier interface.  But glm is better known and usually
efficient enough.

> What is the code for this problem using 'glm' + 'predict'.

As far as I recall there are several variations on this problem, so 
cannot give you a single answer.

> 
> I thank you in advance for your help,
> 
> ===================================
> Dr SAULEAU Erik-A.
> DIM
> ----------------------------------------------------------
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> 141, Ave de Strasbourg
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> Tel : 03-88-64-61-81
> E-Mail: dim.brumath at wanadoo.fr
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> E-Mail: dim at ch-erstein.fr
> ===================================
> 

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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