[R] Decision Trees or Markov Models for Cost Effectiveness

[Bert Gunter]

Noah:


On Mon, Jun 11, 2012 at 3:28 PM, Noah Silverman <noahsilverman at ucla.edu> wrote:
> Hello,
>
> I was just assigned to perform a cost effectiveness study in healthcare.  We are studying the cost effectiveness of a proposed diagnostic vs. current screening procedures.

-- Please! -- Do you think this really describes your problem
sufficiently for a coherent answer? What sort of data do you have? --
what are the measures of cost and effectiveness? -- How complete are
your data? -- Is there censoring, missing values? What are the
covariates? How measured and recorded? ...

I would strongly recommend that you consult with fellow local
statisticians. At the very least, they might be able to point you in
the right (R package) direction. But I think you need a good deal more
help and guidance than that to formulate the questions, both
scientific and statistical.

-- Bert

>
> One of the team members suggest a commercial software package called "TreeAge Pro".  Looking at the description, it appears to be a nice GUI to some very simple models that could be easily constructed in R.
>
> Are there any packages in R for this type of analysis?
> Additionally, does anyone have any suggestions in general regarding doing this type of analysis in R?
>
> Thank You,
>
> --
> Noah Silverman
> UCLA Department of Statistics
> 8117 Math Sciences Building
> Los Angeles, CA 90095
>
>
>        [[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.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm