Over the past 3 years, CureTogether has gathered millions of patient-reported data points on symptoms and treatments for over 500 conditions. Now it’s time to test on a larger scale how well CureTogether data represents the general population. Do they match up or not?
So we’re running a contest to tap the most brilliant stats minds out there. Challenge our dataset! See whether or not it holds up to existing research studies. Why? You’ll be helping to demonstrate the effectiveness of online platforms for medical discovery, and ultimately helping to reduce global suffering.
NOTE! The goal of the competition is not to reach any predetermined conclusion. It is to measure as well as we can how much our conclusions agree or disagree with the PubMed literature. Whether you find agreement or disagreement or something in between will have no effect on your chances of winning.
How it works:
- Find one or many discoveries on PubMed or GoPubMed to compare to CureTogether data
- Ask Alexandra (CureTogether co-founder) for the anonymized data
- Prepare analyses and/or visualizations that demonstrate and quantify how well CureTogether data matches up with the independent studies (use R, Python, SQL, SAS, SPSS, Excel, Sweave, or your favorite tool)
- Send Alexandra what you find
- Win $3,000 top prize, $1,000 second prize, or one of four $250 third prizes
- Get recognition on CureTogether’s Team page, blog, Twitter account, etc.
Examples of discoveries to replicate:
- Treatment effectiveness
- Symptom prevalence
- Gender/age prevalence
- Symptom biomarkers for disease diagnosis or treatment response
- Anything else you find interesting or relevant (you might get some ideas by looking at CureTogether’s research findings so far)
- 25% – Does the entry compare CureTogether data with several high quality independent studies with large sample sizes, studies that have been replicated multiple times, more recent studies, etc?
- Signed release for CureTogether to post the findings publicly
- Daniel Reda, CureTogether
- Prof. Seth Roberts, Tsinghua University and University of Berkeley
- First draft of discoveries submitted for feedback by – August 29
- Final discoveries submitted by – October 29
- Winner(s) announced – November 15