Noah:
On Mon, Jun 11, 2012 at 3:28 PM, Noah Silverman <noahsilver...@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@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 ______________________________________________ R-help@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.
