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- Dec 22, 2013
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Please don't accuse me of being naive for positing this question, but I had a question about Match lists. So I'm applying to the following BS/MD Program Medical schools and I was doing some simple statistical analysis. I am only interested in surgery, so I compiled data on matches into surgical specialties. I understand that numerous confounding variables exist but here is my methodology:
1. Sum all students that match into a surgical specialty (disregard prestige of match)
2. Divide by class size
I received the following data:
1. UPitt SOM: 20/148=13.5%
2. NU Feinberg SOM: 4/163=2.5%
3. Baylor COM: 19/186=10.2%
4. CWRU SOM: 38/217=17.5%
5. URochester SOM: 10/102=9.62%
6. Brown Alpert SOM: 14/144=9.72%
Don't these results at least sound kind of bizarre (esp NU)? Please let me know of some errors in calculation (without condescension). Thanks.
1. Sum all students that match into a surgical specialty (disregard prestige of match)
2. Divide by class size
I received the following data:
1. UPitt SOM: 20/148=13.5%
2. NU Feinberg SOM: 4/163=2.5%
3. Baylor COM: 19/186=10.2%
4. CWRU SOM: 38/217=17.5%
5. URochester SOM: 10/102=9.62%
6. Brown Alpert SOM: 14/144=9.72%
Don't these results at least sound kind of bizarre (esp NU)? Please let me know of some errors in calculation (without condescension). Thanks.