<>
It is quite easy to replicate the model w/o trunctation as a glm - which
gives you access to more residuals in -predict-:
*****
webuse rod93, clear
tab cohort, gen(coh)
generate logexp=ln(exposure)
nbreg deaths coh2 coh3, exposure(exp)
glm deaths coh2 coh3, family(nbinomial) link(log) exposure(exposure)
predict dev, deviance
predict pea, pearson
*****
Maybe other listers know how to incorporate the truncation part into this
story
HTH
Martin
_______________________
----- Original Message -----
From: Megan McKeown
To: [email protected]
Sent: Saturday, March 28, 2009 3:20 PM
Subject: st: ztnb and residuals
Hello Statalist,
I am using a zero-truncated negative binomial regression to model count
data. Does anyone have any suggestions as to how I could obtain Standarized
Pearson Residuals and/or Deviance Residuals for this model? I have explored
simple postestimation commands.
Thanks for your time!
Megan
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