[R] Negative binomial models and censored observations

[Achim Zeileis]

On Thu, 13 Mar 2014, Tim Marcella wrote:

> Hi,
>
> I am working with hurdle models in the pscl package to model zero 
> inflated overdispersed count data and want to incorporate censored 
> observations into the equation. 33% of the observed positive count data 
> is right censored, i.e. subject lost to follow up during the duration of 
> the study. Can this be accounted for in the hurdle() function?

No, this is currently not supported. If the censoring points are fixed 
(e.g., counts of "5" actually mean "5 or more") then using an ordinal 
model might be an alternative to using a count model. However, if the 
censoring points differ, then I wouldn't know of a package that provides 
this out of the box...

> Thanks, Tim
>
> 	[[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>