There’s something for everyone! I had a lot of fun just copying the titles to make this list, as I’d already forgotten about a lot of this stuff. Here are the scheduled posts, in order through 31 Dec:
Fitting models with discrete parameters in Stan
How to use lasso etc. in political science?
An unconvincing analysis claiming to debunk the health benefits of moderate drinking
Tamiflu conflict of interest
Alleged data manipulation in NIH-funded Alzheimer’s study
Flamebait: “Mathiness” in economics and political science
Cognitive skills rising and falling
Mindset interventions are a scalable treatment for academic underachievement — or not?
Most successful blog post ever
Political advertising update
Doomed to fail: A pre-registration site for parapsychology
Mars Missions are a Scam
Ta-Nehisi Coates, David Brooks, and the “street code” of journalism
What do you learn from p=.05? This example from Carl Morris will blow your mind
Here’s a theoretical research project for you
Hierarchical logistic regression is easy in Stan
In answer to James Coyne’s question, no, I can’t make sense of this diagram.
In that article, they forgot to mention that Ludmerer is one of the 5 doctors in America who has no opinion on whether cigarette smoking contributes to lung cancer in human beings.
“Null hypothesis” = “A specific random number generator”
My webinar with Brad Efron this Wednesday
How to build trust in missing-data imputations?
Evaluating models with predictive accuracy
Using Stan to map cancer screening!
Why you can’t always use predictive performance to choose among models
Top 5 movies about scientists
“Modern Physics from an Elementary Point of View”
Super-topical NBA post!!!
Characterizing the spatial structure of defensive skill in professional basketball
The original Hot Hand preprint!
Exaggeration of effects of fan distraction in NCAA basketball
What do I say when I don’t have much to say?
Cauchy priors for logistic regression coefficients
Where the fat people at?
“Priming Effects Replicate Just Fine, Thanks”
My job here is done
The tabloids strike again
Econometrics: Instrument locally, extrapolate globally
I wish Napoleon Bonaparte had never been born
How to parameterize hyperpriors in hierarchical models?
“Don’t get me started on ‘cut’”
Taleb’s Precautionary Principle: Should we be scared of GMOs?
Pass the popcorn
Who falls for the education reform hype?
Inference from an intervention with many outcomes, not using “statistical significance”
“Should Prison Sentences Be Based On Crimes That Haven’t Been Committed Yet?”
At this point, I’m primed to be skeptical about claims of social priming
He wants to teach himself some statistics
I like the Monkey Cage
What years of the economy influence the next presidential election?
Humans Can Discriminate More than 1 Trillion Olfactory Stimuli. Not.
Some people are so easy to contact and some people aren’t.
A statistical approach to quadrature
“The Bayesian Second Law of Thermodynamics”
Jökull Snæbjarnarson writes . . .
Bayesian inference for network links
0.05 is a joke
Statistics diaries and comparable assignments in other fields
“A pure Bayesian or pure non-Bayesian is not forever doomed to use out-of-date methods, but at any given time the purist will be missing some of the most effective current techniques.”
7 tips for work-life balance
A missed opportunity?
How to analyze hierarchical survey data with post-stratification?
My quick answer is that I would analyze all 10 outcomes using a multilevel model.
Rogue historian just can’t stop copying
Questions about data transplanted in kidney study
Party like it’s 2005
Cannabis/IQ follow-up: Same old story
Waic and cross-validation for survival models?
Hierarchical modeling when you have only 2 groups: I still think it’s a good idea, you just need an informative prior on the group-level variation
I definitely wouldn’t frame it as “To determine if the time series has a change-point or not.” The time series, whatever it is, has a change point at every time. The question might be, “Is a change point necessary to model these data?” That’s a question I could get behind.
Actually, I’d just do full Bayes
“Baby Boomer” as all-purpose insult
Defining conditional probability
In defense of endless arguments
Bayesian decision analysis for the drug-approval process
Mars 1, This American Life 0
LaCour and Green 1, This American Life 0
What is a Republican?
“Perhaps the most reasonable explanation is that no one watched the video or did the textbook reading . . .”
A Replication in Economics: Does “Genetic Distance” to the US Predict Development?
Death of a statistician
Rapid post-publication review
He’s skeptical about Neuroskeptic’s skepticism
“Am I doing myself a disservice by being too idealistic in a corporate environment?”
Gresham’s Law of experimental methods
Turbulent Studies, Rocky Statistics: Publicational Consequences of Experiencing Inferential Instability
There are 6 ways to get fired from Johnson & Johnson: (1) theft, (2) sexual harassment, (3) running an experiment without a control group, (4) keeping a gambling addict away from the casino, (5) chapter 11 bankruptcy proceedings, and (6) not covering up records of side effects of a drug you’re marketing to kids
“The lifecycle of scholarly articles across fields of economic research”
My presentation at the Electronic Conference on Teaching Statistics
When the numbers differ in the third decimal place
Definitely got nothing to do with chess IV
As usual, I’ll occasionally bump posts for more topical material. And my cobloggers are free to intersperse their posts whenever.