Mathew Mercuri writes: I am interested in learning how to work in a Bayesian world. I have training in a frequentist approach, specifically from an applied health scientist/epidemiologist approach. However, while i teach courses in applied statistics, I am not particularly savvy with heavy statistical mathematics, so I am a bit worried bout how to […]

**Teaching**category.

## Free workshop on Stan for pharmacometrics (Paris, 22 September 2016); preceded by (non-free) three day course on Stan for pharmacometrics

So much for one post a day… Workshop: Stan for Pharmacometrics Day If you are interested in a free day of Stan for pharmacometrics in Paris on 22 September 2016, see the registration page: Stan for Pharmacometrics Day (free workshop) Julie Bertrand (statistical pharmacologist from Paris-Diderot and UCL) has finalized the program: When Who What […]

## Stan Course up North (Anchorage, Alaska) 23–24 Aug 2016

Daniel Lee’s heading up to Anchorage, Alaska to teach a two-day Stan course at the Alaska chapter of the American Statistical Association (ASA) meeting in Anchorage. Here’s the rundown: Information and Free Registration I hear Alaska’s beautiful in the summer—16 hour days in August and high temps of 17 degrees celsius. Plus Stan! More Upcoming […]

## DrawMyData

Robert Grant writes: This web page is something I constructed recently. You might find it useful for making artificial datasets that demonstrate a particular point for students. At any rate, if you have any feedback on it I’d be interested to hear it. I’ve tried to keep it as simple as possible but in due […]

## Bayesian Inference with Stan for Pharmacometrics Class

Bob Carpenter, Daniel Lee, and Michael Betancourt will be teaching the 3-day class starting on 19 September in Paris. Following is the outline for the course: Day 1 Introduction to Bayesian statistics Likelihood / sampling distributions Priors, Posteriors via Bayes’s rule Posterior expectations and quantiles Events as expectations of indicator functions Introduction to Stan Basic […]

## What they’re saying about “blended learning”: “Perhaps the most reasonable explanation is that no one watched the video or did the textbook reading . . .”

Someone writes in: I was wondering if you had a chance to see the commentary by the Stockwells on blended learning strategies that was recently published in Cell and which also received quite a nice write up by Columbia. It’s also currently featured on Columbia’s webpage. In fact, I was a student in Prof. Stockwell’s […]

## Changing everything at once: Student-centered learning, computerized practice exercises, evaluation of student progress, and a modern syllabus to create a completely new introductory statistics course

I’m speaking at the Electronic Conference on Teaching Statistics on Mon 16 May at 11am. I’ve given many remote talks but this is the first time I’ve spoken at an all-electronic conference. It will be a challenge. In a live talk, everyone’s just sitting in the room staring at you, but in an electronic conference […]

## All that really important statistics stuff that isn’t in the statistics textbooks

Kaiser writes: More on that work on age adjustment. I keep asking myself where is it in the Stats curriculum do we teach students this stuff? A class session focused on that analysis teaches students so much more about statistical thinking than anything we have in the textbooks. I’m not sure. This sort of analysis […]

## Should he major in political science and minor in statistics or the other way around?

Andrew Wheeler writes: I will be a freshman at the University of Florida this upcoming fall and I am interested in becoming a political pollster. My original question was whether I should major in political science and minor in statistics or the other way around, but any other general advice would be appreciated. My reply: […]

## The difference between “significant” and “not significant” is not itself statistically significant: Education edition

In a news article entitled “Why smart kids shouldn’t use laptops in class,” Jeff Guo writes: For the past 15 years, educators have debated, exhaustively, the perils of laptops in the lecture hall. . . . Now there is an answer, thanks to a big, new experiment from economists at West Point, who randomly banned […]

## Beautiful Graphs for Baseball Strike-Count Performance

This post is by Bob. I have no idea what Andrew will make of these graphs; I’ve been hoping to gather enough comments from him to code up a ggplot theme. Shravan, you can move along, there’s nothing here but baseball. Jim Albert created some great graphs for strike-count performance in a series of two […]

## Happy talk, meet the Edlin factor

Mark Palko points us to this op-ed in which psychiatrist Richard Friedman writes: There are also easy and powerful ways to enhance learning in young people. For example, there is intriguing evidence that the attitude that young people have about their own intelligence — and what their teachers believe — can have a big impact […]

## Statistics is like basketball, or knitting

I had a recent exchange with a news reporter regarding one of those silly psychology studies. I took a look at the article in question—this time it wasn’t published in Psychological Science or PPNAS so it didn’t get saturation publicity—and indeed it was bad, laughably bad. They didn’t just have the garden of forking paths, […]

## He wants to teach himself some statistics

Milan Griffes writes: I work at GiveWell, which you’ve kindly written about in the past. I wanted to ask for your current thoughts on the best way to learn statistics outside of formal education since it’s been a few years since your last post on this topic. Do you have any advice for someone with […]

## Graphical Data Analysis with R

Graphical Data Analysis with R: that’s the title of Antony Unwin’s new book. Here are the chapter titles: Ch01 Setting the Scene Ch03 Examining continuous variables Ch04 Displaying Categorial Data Ch05 Looking for Structure Ch06 Investigating Multivariate Continuous Data Ch07 Studying Multivariate Categorical Data Ch08 Getting an Overview Ch09 Graphics and Data Quality Ch10 Comparisons […]

## “What is Bayesian data analysis? Some examples”: My lecture at the New School this Wed noon

What is Bayesian data analysis? Some examples This is for their econ program, I think? I’ll demonstrate the three stages of Bayesian data analysis, going over examples such as the world cup analysis, the monster study, spell checking, the so-called global climate challenge, trends in death rates, . . . we’ll see how much time […]

## Stat Podcast Plan

In my course on Statistical Communication and Graphics, each class had a special guest star who would answer questions on his or her area of expertise. These were not “guest lectures”—there were specific things I wanted the students to learn in this course, it wasn’t the kind of seminar where they just kick back each […]

## My namesake doesn’t seem to understand the principles of decision analysis

It says “Never miss another deadline.” But if you really could never miss your deadlines, you’d just set your deadlines earlier, no? It’s statics vs. dynamics all over again. That said, this advice seems reasonable: The author has also developed a foolproof method of structuring your writing, so that you make effective use of your […]