I love research but I hate statistics. I mean, doctor is a job complicated enough, I can’t become statistician on top of it, right? Now with R++, I love research. No buts.
This is from one of our first clients (cardiac surgeon at the CHU Purpan - Toulouse) and sums up very well the objective of R++: it lets doctors make their statistics simply, independently and above all, it reduces the pain.
The importance of methodology and statistical analysis in medical research cannot be overemphasized. You have collected data. Cleaning that data is an essential step because it is highly likely it contains outliers. Then you have a hypothesis in mind. So you need to do a statistical test to support it. The right test must be chosen from among the many tests that exist. Furthermore, to control biases and adjust for confounding factors, it will require modeling: Survival curves, regression. These and many other tasks can be complicated or impossible without good statistical analysis software. R++ was designed to do the job.
R++ is distinguished from other statistical analysis software packages in two fundamental ways: focus on medicine and its simple intuitive interface.
Whether you are Intern, Doctor or Head of Department, we have offers according to your needs and budget!
Find the formula that suits you best with scalable rates adapted to your situation.
The thing we appreciate most about R++ analysis software is having a team that is very attentive to our requests.
I am bad at stats, I hate stats. R++, it (almost) made me love stats.
Following our requests, R++ provided us with a tool to generate Kaplan-Meier curves.
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