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Help calculating p-values
3 messages · Jin Choi, Bert Gunter, Rolf Turner
This is very basic stuff, so I think your main problem is statistical, not R related. Try posting on stats.stackexchange.com to get statistical advice or do some reading about differences in proportions, contingency tables, and the like. Incidentally, off the top of my head, I'd say there's no evidence that the proportions are different. See if I'm right when you do the correct calculation. -- Bert
On Fri, Feb 1, 2013 at 3:45 PM, Jin Choi <jin.hj.choi at gmail.com> wrote:
I am trying to figure out how to calculate p-values for the difference in
prevalence of a risk factor between men and women. For example, I find that
277 out of 710 male patients and 125 out of 305 female patients have
obesity, what is the p-value for their difference?
If there is a package that can calculate this in bulk, I would appreciate
to learn about it!
Thank you
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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
This smacks of homework to me.
cheers,
Rolf Turner
On 02/02/2013 12:45 PM, Jin Choi wrote:
I am trying to figure out how to calculate p-values for the difference in prevalence of a risk factor between men and women. For example, I find that 277 out of 710 male patients and 125 out of 305 female patients have obesity, what is the p-value for their difference? If there is a package that can calculate this in bulk, I would appreciate to learn about it!