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Python tools for epidemiology
pretty much need to port R's EpiWeek code:
"I know the 'Epi' or 'epiR' packages in R also give you the option of getting the attributable risk and PAR as outputs - is it possible to include these in the lib? I might have more questions later but suffice to say this is great work!"
http://www.reddit.com/r/publichealth/comments/1xam48/epipy_nifty_new_opensource_library_of/
I want to be sure, that I'm correctly using the test suite. @cmrivers are you aware about this? If those are actual problems I can work for trying to fix them.
I'm running the test suite using:
py.test
Thanks for this package, Caitlin. Do you have a Cochran-Mantel-Haenszel function in there? Seems like it could be useful next to the 2x2 tables. Thanks in advance!
Tests needed on the following functions:
rolling_proportion.py
or_plot.py
Several features are undocumented, graphics are broken, and some git commits went awry.
Plus I hate jekyll.
There is no mention of any license in the README and no LICENSE file present.
Without a license it will be hard or impossible for other people to contribute or make use of your project.
Please consider a license (for instance GNU GPL or MIT). Thanks!
Would be nice to be able to condense time spans on the x-axis of case tree plots, so if a long time passed between case trees, that interval could be truncated.
When a cell in the 2x2 table contains a zero, add a correction.
http://handbook.cochrane.org/chapter_16/16_9_2_studies_with_zero_cell_counts.htm
"Another suggestion: maybe a plotting function or just an added parameter to the 'analyze_2x2' where you can input a logical T/F on whether you want a plot."
Reference: http://strengejacke.wordpress.com/2013/03/22/plotting-lm-and-glm-models-with-ggplot-rstats/
http://www.reddit.com/r/publichealth/comments/1xam48/epipy_nifty_new_opensource_library_of/
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