OK, this is what we’ve got for you:
“The Book of Why” by Pearl and Mackenzie
Reproducibility and Stan
MRP (multilevel regression and poststratification; Mister P): Clearing up misunderstandings about
Becker on Bohm on the important role of stories in science
This is one offer I can refuse
How post-hoc power calculation is like a shit sandwich
Storytelling: What’s it good for?
Freud expert also a Korea expert
Data partitioning as an essential element in evaluation of predictive properties of a statistical method
A thought on the hot hand in basketball and the relevance of defense
A ladder of responses to criticism, from the most responsible to the most destructive
“Either the results are completely wrong, or Nasa has confirmed a major breakthrough in space propulsion.”
Moneyball for evaluating community colleges
Of butterflies and piranhas
Science as an intellectual “safe space”?
Just when you thought it was safe to go back into the water . . . SHARK ATTACKS in the Journal of Politics
One more reason to remove letters of recommendation when evaluating candidates for jobs or scholarships.
When doing regression (or matching, or weighting, or whatever), don’t say “control for,” say “adjust for”
If this article portrays things accurately, the nutrition literature is in even worse shape than I thought
What should JPSP have done with Bem’s ESP paper, back in 2010? Click to find the surprisingly simple answer!
The bullshit asymmetry principle
“Objective: Generate evidence for the comparative effectiveness for each pairwise comparison of depression treatments for a set of outcomes of interest.”
Autodiff! (for the C++ jockeys in the audience)
Principal Stratification on a Latent Variable (fitting a multilevel model using Stan)
Of multiple comparisons and multilevel models
If you want to measure differences between groups, measure differences between groups.
New estimates of the effects of public preschool
Facial feedback is back
The Stan Core Roadmap
Fitting big multilevel regressions in Stan?
Fitting multilevel models when the number of groups is small
Our hypotheses are not just falsifiable; they’re actually false.
“Using 26,000 diary entries to show ovulatory changes in sexual desire and behavior”
Votes vs. $
Should he go to grad school in statistics or computer science?
Michael Crichton on science and storytelling
Simulation-based statistical testing in journalism
More on that horrible statistical significance grid
P-hacking in study of “p-hacking”?
“Do you have any recommendations for useful priors when datasets are small?”
Deterministic thinking meets the fallacy of the one-sided bet
Are GWAS studies of IQ/educational attainment problematic?
I believe this study because it is consistent with my existing beliefs.
Healthier kids: Using Stan to get more information out of pediatric respiratory data
“News Release from the JAMA Network”
Kevin Lewis has a surefire idea for a project for the high school Science Talent Search
HMC step size: How does it scale with dimension?
Does diet soda stop cancer? Two Yale Cancer Center docs have diametrically opposite views!
Evidence distortion in clinical trials
Separated at birth?
“Light Privilege? Skin Tone Stratification in Health among African Americans”
George Orwell meets statistical significance: “Politics and the English Language” applied to science
Good news! Researchers respond to a correction by acknowledging it and not trying to dodge its implications
“Yes, not only am I suspicious of the claims in that op-ed, I’m also suspicious of all the individual claims from the links in these two sentences”
Journalist seeking scoops is as bad as scientist doing unreplicable research
Yes on design analysis, No on “power,” No on sample size calculations
(back to basics:) How is statistics relevant to scientific discovery?
A corpus in a single survey!
The neurostatistical precursors of noise-magnifying statistical procedures in infancy
Not Dentists named Dennis, but Physicists named Li studying Li
Remember that paper we wrote, The mythical swing voter? About shifts in the polls being explainable by differential nonresponse? Mark Palko beat us to this idea, by 4 years.
Political polarization and gender gap
Junk science + Legal system = Disaster
Yes, you can include prior information on quantities of interest, not just on parameters in your model
From the Stan forums: “I’m just very thirsty to learn and this thread has become a fountain of knowledge”
“No, cardiac arrests are not more common on Monday mornings, study finds”
One more reason I hate letters of recommendation
Statistical-significance thinking is not just a bad way to publish, it’s also a bad way to think
Estimating treatment effects on rates of rare events using precursor data: Going further with hierarchical models.
Are male doctors better for male heart attack patients and female doctors better for female heart attack patients?
When and how do politically extreme candidates get punished at the polls?
He asks me a question, and I reply with a bunch of links
New golf putting data! And a new golf putting model!
Balancing rigor with exploration
Yes, I really really really like fake-data simulation, and I can’t stop talking about it.
Should we talk less about bad social science research and more about bad medical research?
Mister P for surveys in epidemiology — using Stan!
Here’s a puzzle: Why did the U.S. doctor tell me to drink more wine and the French doctor tell me to drink less?
Surgeon promotes fraudulent research that kills people; his employer, a leading hospital, defends him and attacks whistleblowers. Business as usual.
A world of Wansinks in medical research: “So I guess what I’m trying to get at is I wonder how common it is for clinicians to rely on med students to do their data analysis for them, and how often this work then gets published”
An interview with Tina Fernandes Botts
How to approach a social science research problem when you have data and a couple different ways you could proceed?
“Boston Globe Columnist Suspended During Investigation Of Marathon Bombing Stories That Don’t Add Up”
Here’s an idea for not getting tripped up with default priors . . .
Impact of published research on behavior and avoidable fatalities
How did our advice about research ethics work out, three years later?
What’s a good default prior for regression coefficients? A default Edlin factor of 1/2?
“The Long-Run Effects of America’s First Paid Maternity Leave Policy”: I need that trail of breadcrumbs.
Question on multilevel modeling reminds me that we need a good modeling workflow (building up your model by including varying intercepts, slopes, etc.) and a good computing workflow
“Heckman curve” update: The data don’t seem to support the claim that human capital investments are most effective when targeted at younger ages.
Why “bigger sample size” is not usually where it’s at.
Emile Bravo and agency
“How Sloppy Science Creates Worthless Cures, Crushes Hope, and Wastes Billions” . . . and still stays around even after it’s been retracted
Prestigious journal publishes sexy selfie study
What sort of identification do you get from panel data if effects are long-term? Air pollution and cognition example.
Treatment interactions can be hard to estimate from data.
Works of art that are about themselves
All statistical conclusions require assumptions.
State-space models in Stan
The network of models and Bayesian workflow, related to generative grammar for statistical models
No, its not correct to say that you can be 95% sure that the true value will be in the confidence interval
Differential effects of research trauma on fatigue and functioning of journal editors in chronic sloppy research syndrome
Claims about excess road deaths on “4/20” don’t add up
Here’s a supercool controversy for ya
Wanted: Statistical success stories
R-squared for multilevel models
“Appendix: Why we are publishing this here instead of as a letter to the editor in the journal”
Ballot order update
“Incentives to Learn”: How to interpret this estimate of a varying treatment effect?
Conditioning on post-treatment variables when you expect self-selection
“How many years do we lose to the air we breathe?” Or not.
How to think scientifically about scientists’ proposals for fixing science
Continuing discussion of status threat and presidential elections, with discussion of challenge of causal inference from survey data
“Boosting intelligence analysts’ judgment accuracy: What works, what fails?”
“One should always beat a dead horse because the horse is never really dead”
Olivia Goldhill and Jesse Singal report on the Implicit Association Test
Automation and judgment, from the rational animal to the irrational machine
Do regression structures affect research capital? The case of pronoun drop
Difference-in-difference estimators are a special case of lagged regression
The Arkansas paradox
Gremlin time: “distant future, faraway lands, and remote probabilities”
That illusion where you think the other side is united and your side is diverse
Maintenance cost is quadratic in the number of features
Bayesian analysis of data collected sequentially: it’s easy, just include as predictors in the model any variables that go into the stopping rule.
BizStat: Modeling performance indicators for deals
Scandal! Mister P appears in British tabloid.
“We see MRP as a way to combine all the data—pre-election voter file data, early voting, precinct results, county results, polling—into a single framework”
“In 1997 Latanya Sweeney dramatically demonstrated that supposedly anonymized data was not anonymous,” but “Over 20 journals turned down her paper . . . and nobody wanted to fund privacy research that might reach uncomfortable conclusions.”
On the term “self-appointed” . . .
Hey, people are doing the multiverse!
Vigorous data-handling tied to publication in top journals among public heath researchers
Software for multilevel conjoint analysis in marketing
Neural nets vs. statistical models
I’m no expert
John Le Carre is good at integrating thought and action
Donald J. Trump and Robert E. Lee
Pushing the guy in front of the trolley
Crystallography Corner: The result is difficult to reproduce, but the result is still valid.
They’re working for the clampdown
What pieces do chess grandmasters move, and when?
Let’s publish everything.
Why edit a journal?
Should we mind if authorship is falsified?
Solutions to the 15 questions on our applied regression exam
So, yeah, the usual range of topics.
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