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N-of-5 Minutes
Stats-of-1
15 episodes
6 days ago
Five minute chats with experts from all corners of science about statistics that can be applied to a single person. All scientists and non-scientists are welcomed! This podcast is hosted by Stats-of-1 (statsof1.org), a blog on a mission to improve personalized health through digital individualized statistical designs or methods.
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Science
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All content for N-of-5 Minutes is the property of Stats-of-1 and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Five minute chats with experts from all corners of science about statistics that can be applied to a single person. All scientists and non-scientists are welcomed! This podcast is hosted by Stats-of-1 (statsof1.org), a blog on a mission to improve personalized health through digital individualized statistical designs or methods.
Show more...
Science
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A Quick Intro to N-of-1 Studies Part 2
N-of-5 Minutes
6 minutes 4 seconds
3 years ago
A Quick Intro to N-of-1 Studies Part 2

What types of N-of-1 exist? In what other fields could N-of-1 studies be useful? What is the main difference between single case and N-of-1 studies? This is Part 2 of a 5 minute introduction into the world of N-of-1.

In this episode we talk to Dr. Eric J. Daza. Dr  Daza is a bio-statistician and health data scientist at Evidation, a digital health company. He has worked for 20 years in both industry and academia, in pharma clinical trials, survey sampling, nutrition, maternal/child health, global/international health, health promotion & disease prevention, health tech, digital health, and behavioral medicine. For more from Dr. Daza, find him on Twitter.

N-of-5 Minutes
Five minute chats with experts from all corners of science about statistics that can be applied to a single person. All scientists and non-scientists are welcomed! This podcast is hosted by Stats-of-1 (statsof1.org), a blog on a mission to improve personalized health through digital individualized statistical designs or methods.