[R] Right censored data, abundant in zeros for regression analysis.
bgunter.4567 at gmail.com
Thu Dec 24 22:09:15 CET 2015
Strictly speaking, this is a statistical analysis issue, not an R
question, although I grant you that the intersection of the two is
nonempty. Nevertheless, I would suggest that you post on a statistics
list like stats.stackexchange.com . In fact, because the issue of how
to effectively deal with such data appears to be far from trivial, you
might better seek local statistical advice. Once you have decided
**what** to do, you could then come back here to inquire about R
packages and procedures to do it -- if you are unable to first find
something through internet search of course.
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Thu, Dec 24, 2015 at 5:41 AM, REES T. (706713)
<t.rees.706713 at swansea.ac.uk> wrote:
> Hi there,
> Firstly forgive me if this seem obvious, if there is existing literature on this i can't find it.
> I am looking at conditioning to stimuli and there in the time taken to perform a certain task.
> The IV for this data is Conditioning periods ranging from 1-34 periods and the DV is the time taken for the behavioral response to occur 0-300s.
> I am aware that this could simply be looked at through a simple linear regression, however due to the nature of conditioning there is an abundance of zeros in the data.
> On top of this the response time data is right censored (i believe), in that they were given a five minute period to respond after this five minute period (300 seconds) the conditioning period was terminated, so no more data was recorded.
> Attached is the data (in .csv format) for time spent out, 0 indicated no time out and 300 indicated all time out during the 5 minutes.
> I have considered looking at zero-inflated censored regressions and others similar analysis but I cannot find an analysis that suits the data I have and actually works.
> So what is the best analysis method to deal with this data?
> Admittedly i could be completely missing the target, if that's the case please feel free to say so. Any help with the route that I should go down here would be much appreciated, even if it is blindingly obvious.
> Tom Rees
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