Semester 2
by sofile
Today began the second semester of epi, and I’m already in love with the Data Analysis course. In it we learn how to analyze data using both frequentist and Bayesian approaches. The former is the dominant and most standard approach, and in sum it’s arbitrary, clunky, and susceptible to manipulation. The latter is a more informed approach of analysis that takes into consideration all prior knowledge; this makes it more informative and rigorous but also harder to do. Frequentist analysis is what I’ve learned since high school; Bayes is what I get to get my hands dirty in now. I can’t wait!
Source: http://www.medicine.mcgill.ca/epidemiology/Joseph/courses/EPIB-621/BasicInfo.pdf
cultivating & crashing 
Hey, I really like your graphic. Did you make that? I’d love to use it in a statistics lecture about inference.
Hello! It’s from my professor’s coursepack. Here it is in its original context (p. 18): http://www.medicine.mcgill.ca/epidemiology/Joseph/courses/EPIB-621/BasicInfo.pdf
His name is Dr. Lawrence Joseph and, as you can see, the coursepack is freely available online. I’m sure he’d be happy for you to use it as long as you cite it — something I should have done when I first posted it. Going to fix that right now. :)
Btw, thanks for your answer. I keep using it! :-)