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Archive of posts filed under the Teaching category.

BDA FREE (Bayesian Data Analysis now available online as pdf)

Our book, Bayesian Data Analysis, is now available for download for non-commercial purposes! You can find the link here, along with lots more stuff, including: • Aki Vehtari’s course material, including video lectures, slides, and his notes for most of the chapters • 77 best lines from my course • Data and code • Solutions […]

Career advice for a future statistician

Gary Ruiz writes: I am a first-year math major at the Los Angeles City College in California, and my long-term educational plans involve acquiring at least one graduate degree in applied math or statistics. I’m writing to ask whether you would offer any career advice to someone interested in future professional work in statistics. I […]

Online Causal Inference Seminar starts next Tues!

Dominik Rothenhäusler writes: We are delighted to announce the creation of the Online Causal Inference Seminar (OCIS)! Our goal in creating this seminar series is to provide a platform for our community to continue interacting and growing in spite of the current health crisis. The causal tent is a big one, and we hope to […]

Corona virus presentation by the Dutch CDC, also some thoughts on the audience for these sorts of presentations

Anne Pier Salverda writes: I’ve attached a corona virus presentation by the RIVM, the Dutch equivalent of the CDC. This briefing is happening as I send this email. The presentation is comprehensive and comprehensible, and it hits all the marks in the data visualization and communication department. Are you aware of any comparable presentations by […]

“Lessons from First Online Teaching Experience after COVID-19 Regulations”

Abdullah Aydogan, who teaches in the political science department here, wrote a short report of his recent online teaching experience: Here are four lessons I [Aydogan] derived from my first online education experience for my “Research Design: Data Analysis” course at Columbia University. To begin with, contrary to in-class education, it is extremely hard to […]

What is the probability that someone you know will die from COVID-19 this year?

Do you realize that everyone you know someday will die And instead of saying all of your goodbyes, let them know You realize that life goes fast It’s hard to make the good things last You realize the sun doesn’t go down It’s just an illusion caused by the world spinning round Chris Sims writes: […]

We taught a class using Zoom yesterday. Here’s what we learned.

Like many schools, Columbia is moving to online teaching for awhile to minimize the potential for virus transmission, so Merlin, Pablo, and I used Zoom for our class on applied regression and causal inference. Yesterday’s topic was chapter 11, Assumptions, diagnostics, and model evaluation. Some things about the class went well, some things could be […]

An article in a statistics or medical journal, “Using Simulations to Convince People of the Importance of Random Variation When Interpreting Statistics.”

Andy Stein writes: On one of my projects, I had a plot like the one above of drug concentration vs response, where we divided the patients into 4 groups. I look at the data below and think “wow, these are some wide confidence intervals and random looking data, let’s not spend too much time more […]

“Repeating the experiment” as general advice on data collection

Izzy Kates points to the above excerpt from Introductory Statistics, by Neil Weiss, 9th edition, and points out: Nowhere is repeating the experiment mentioned. This isn’t the only time this mistake is made. Good point! We don’t mention replication as a statistical method in our books either! Even when we talk about the replication crisis, […]

Summer training in statistical sampling at University of Michigan

Yajuan points us to this summer program: The 53rd Sampling Program for Survey Statisticians will be offered by the Survey Research Center at the University of Michigan’s Institute for Social Research from June 3 to July 31, 2020. Founded by Professor Leslie Kish in 1961, the Sampling Program is devoted to training statisticians in sound […]

“It just happens to be in the nature of knowledge that it cannot be conserved if it does not grow.”

Well put.

The 100-day writing challenge

I was looking up Margaret Echelbarger’s email and ended up on her webpage. Margaret has broad interests and I suppose that in the old days she would’ve had a blog, but people don’t do blogs anymore . . . What she does have, though, is a 100-day writing challenge. This seems pretty cool. Is a […]

Fugitive and cloistered virtues

There’s a new revolution, a loud evolution that I saw. Born of confusion and quiet collusion of which mostly I’ve known. — Lana Del Ray While an unexamined life seems like an excellent idea, an unexamined prior distribution probably isn’t. And, I mean, I write and talk and think and talk and write and talk and talk and […]

This graduate student wants to learn statistics to be a better policy analyst

Someone writes: I’m getting a doctoral degree in social science. I previously worked for a data analytics and research organization where I supported policy analysis and strategic planning. I have skills in post-data visualization analysis but am not able to go into an organization, take raw data, and turn it into something usable. I’m planning […]

Do we still recommend average predictive comparisons? Click here to find the surprising answer!

Usually these posts are on 6-month delay but this one’s so quick I thought I’d just post it now . . . Daniel Habermann writes: Do you still like/recommend average predictive comparisons as described in your paper with Iain Pardoe? I [Habermann] find them particularly useful for summarizing logistic regression models. My reply: Yes, I […]

How did our advice about research ethics work out, four years later?

OK, here’s an exam question for you: Someone comes up to you and reminds you that three years ago he asked you for advice, you gave him advice, he followed it, and he’s been doing very well since. You’d like to conclude that your advice helped. Give three reasons why the data conveyed in this […]

Attempts at providing helpful explanations of statistics must avoid instilling misleading or harmful notions: ‘Statistical significance just tells us whether or not something definitely does or definitely doesn’t cause cancer’

This post is by Keith O’Rourke and as with all posts and comments on this blog, is just a deliberation on dealing with uncertainties in scientific inquiry and should not to be attributed to any entity other than the author. As with any critically-thinking inquirer, the views behind these deliberations are always subject to rethinking […]

“Some call it MRP, some Mister P, but the full name is . . .”

Jim Savage points us to this explainer, How do pollsters predict UK general election results?, by John Burn-Murdoch of the Financial Times. It’s bittersweet seeing my method described by some person I’ve never met. Little baby MRP is all grown up! Being explained by the Financial Times—that’s about as good as being in the Guardian […]

No, Bayes does not like Mayor Pete. (Pitfalls of using implied betting market odds to estimate electability.)

Asher Meir points to this amusing post from Greg Mankiw, who writes: Who has the best chance of beating Donald Trump? A clue can be found using Bayes Theorem. Here is the logic. Let A be the event that a candidate wins the general election, and B be the event that a candidate wins his […]

I (inadvertently) misrepresented others’ research in a way that made my story sound better.

During a recent talk (I think it was this one on statistical visualization), I spent a few minutes discussing a political science experiment involving social stimuli and attitudes toward redistribution. I characterized the study as being problematic for various reasons (for background, see this post), and I remarked that you shouldn’t expect to learn much […]