This current intent of this library is to support doing a Kaplan-Meier Survival Analysis and generating survival plots for subjects that have a brain tumour diagnosis. This is in support of research being conducted to help create better treatments and improve outcomes.
This does not mean it is only useful for that, but it is the initial driver of the interface for better or for worse.
Please dive in and suggest changes through issues and pull requests. The latter getting more attention.
I will be using a couple of sites to validate the approach. The current two sources I am using as truth are:
Add this line to your application's Gemfile:
gem 'kaplan_meier'And then execute:
$ bundle
Or install it yourself as:
$ gem install kaplan_meier
TODO: Improve these but taking the example data and results from graphpad, here is the current way it would be used.
# At some point I will try and generate decent docs. If you look at the code
# it is using named parameters.
km = KaplanMeier::Survival.new
km.add(46, 1, 1)
km.add(64, 0, 1)
km.add(78)
km.add(124)
km.add(130, 0, 1)
km.add(150, 0, 2)
km.raw_probabilities
km.raw_probabilities(as_percent: true)
km.probabilities
km.probabilities(as_percent: true)
km.range
km.values_for_rangeUse it to drive creating graphs like this using a charting library.
After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.
Bug reports and pull requests are welcome on GitHub at https://github.com/seigel/kaplan_meier.
The gem is available as open source under the terms of the MIT License.