[R] Any R function for self-controlled case series method /effect absorption?

[vito muggeo]

Dear Jari
The problem is to build the dataset to apply the conditional logit 
model. However, as far as I know, no R function exists.

BTW if you are dealing with time series of pollution and health, the 
following two papers might be of interest of you:
It appears that the time series approach could be preferred.


Heather J. Whitaker, Mounia N. Hocine, C. Paddy Farrington
On case-crossover methods for environmental time series data
Environmetrics
Volume 18, Issue 2, Date: March 2007, Pages: 157-171

Lu, Zeger. On the equivalence of case-crossover and time series methods 
in environmental epidemiology Biostatistics, Early view


Jari Haukka wrote:
> Hello,
> 
> Has anyone written R functions for applying self-controlled case series 
> methods (http://statistics.open.ac.uk/sccs/).
> 
> In fact only thing needed is to modify glm function to allow absorption 
> of effect. Eg. in Poisson model individual effect is used as factor, but 
> it is considered as nuisance term where parameter estimates are not needed.
> 
> Could anyone point how absorbing individual effect could be carried out 
> in glm.
> 
> There is already code for  Stata 
> (http://statistics.open.ac.uk/sccs/stata/aglm.ado), Genstat 
> (http://statistics.open.ac.uk/sccs/genstat%5Csccs.gen), Glim 
> (http://statistics.open.ac.uk/sccs/glim/SCCS.MAC) , and SAS 
> (http://statistics.open.ac.uk/sccs/sas/macro/poisreg.sas).
> 
> 
> Regards,
> Jari Haukka
> 
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> and provide commented, minimal, self-contained, reproducible code.
> 
> 

-- 
====================================
Vito M.R. Muggeo
Dip.to Sc Statist e Matem `Vianelli'
Università di Palermo
viale delle Scienze, edificio 13
90128 Palermo - ITALY
tel: 091 6626240
fax: 091 485726/485612