On 09/02/2015 14:28, Malgosia Lubczynska wrote:
Dear all,
I am trying to run a sensitivity analysis for a DLNM combined with a case
crossover design and select the best parameters based on AIC values for
different model set-ups.
model <- glm(mortality ~ cb.temp + ns(soo, 7*7) + dow, family=quasipoisson(),
my.data)
where cb.temp is the crossbasis matrix for the exposure (temperature)
However, the output for the AIC calculations equals NA.
Does anyone know how to obtain a correct AIC for a DLNM model?
To have an AIC you need to do maximum-likelihood fitting (and have a
likelihood ...), something a quasi-Poisson fit does not give you.
Thank you,
Gosia
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Brian D. Ripley, rip...@stats.ox.ac.uk
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