From Data to Insight Where there are data, there is insight. However, insight needs know how – know how about …Continue reading →

The nonsense reported in my May 23 post actually goes well beyond what I reported, to the point where I've lost patience. (I'm sure I'll eventually blog further on it.) So henceforth I plan to disintermediate Google, instead hosting the No ...

Editor’s note: This post was inspired by a really awesome career planning guide that Ben Langmead wrote up for his postdocs which you should go check out right now. You can also find the slightly adapted Leek group career planning guide here. The most common reason that people go into science is altruistic. They loved

David Christopher Bell goes to the trouble (link from Palko) to explain why “Every Map of ‘The Most Popular _________ by State’ Is Bullshit.” As long as enterprising P.R. firms are willing to supply unsourced data, lazy journalists (or whatever you call these people) will promote it. We saw this a few years ago in […] The post Cracked.com > Huffington Post, Wall Street Journal, New York Times appeared first…

I previously wrote about the best way to suppress output from SAS procedures. Suppressing output is necessary in simulation and bootstrap analyses, and it is useful in other contexts as well. In my previous article, I wrote, "many programmers use ODS _ALL_ CLOSE as a way to suppress output, but […] The post Five reasons to use ODS EXCLUDE to suppress SAS output appeared first on The DO Loop.

Today is Allan Birnbaum’s Birthday. Birnbaum’s (1962) classic “On the Foundations of Statistical Inference,” in Breakthroughs in Statistics (volume I 1993), concerns a principle that remains at the heart of today’s controversies in statistics–even if it isn’t obvious at first: the Likelihood Principle (LP) (also called the strong likelihood Principle SLP, to distinguish it from the […]

When I say worst, I mean worst. A joke with no redeeming qualities. Here’s my contender, from the book “1000 Knock-Knock Jokes for Kids”: – Knock Knock. – Who’s there? – Ann – Ann who? – An apple fell on my head. There’s something beautiful about this one. It’s the clerihew of jokes. Zero cleverness. […] The post What’s the worst joke you’ve ever heard? appeared first on Statistical Modeling,…

Another trip in the métro today (to work with Pierre Jacob and Lawrence Murray in a Paris Anticafé!, as the University was closed) led me to infer—warning!, this is not the exact distribution!—the distribution of x, namely since a path x of length l(x) will corresponds to N draws if N-l(x) is an even integer […]

I am guest editing a special topical issue of Zeitschrift für Psychologie on Bayesian statistics. The complete call, with details, can be found here: [pdf]. Briefly:As Bayesian statistics become part of standard analysis in psychology, the Zeitschrift...

In a comment on our recent discussion of stock and flow, Tom Fiddaman writes: Here’s an egregious example of statistical stock-flow confusion that got published. Fiddaman is pointing to a post of his from 2011 discussing a paper that “examines the relationship between CO2 concentration and flooding in the US, and finds no significant impact.” […] The post Stock, flow, and two smoking regressions appeared first on Statistical Modeling, Causal…

I only read nutrition studies in the service of this blog but otherwise, I don't trust them or care. Nevertheless, the health beat of most media outlets is obsessed with printing the latest research on coffee or eggs or fats or alcohol or what have you. Now, the estimable John Ioannidis has published an editorial in BMJ titled "Implausible Results in Human Nutrition Research". John previously told us about the…

SAS procedures can produce a lot of output, but you don't always want to see it all. In simulation and bootstrap studies, you might analyze 10,000 samples or resamples. Usually you are not interested in seeing the results of each analysis displayed on your computer screen. Instead, you want to […] The post What is the best way to suppress ODS output in SAS? appeared first on The DO Loop.

Information graphics often use variations and embellishments of standard charts that may distort the way people read the data. But how bad are these distortions really? In a paper to be presented at EuroVis this week, Drew Skau, Lane Harrison, and I tested their effects in an experiment. Based on a survey of common infographics … Continue reading Paper: An Evaluation of the Impact of Visual Embellishments in Bar Charts

Jan Vanhove writes: The last three research papers I’ve read contained 51, 49 and 70 significance tests (counting conservatively), and to the extent that I’m able to see the forest for the trees, mostly poorly motivated ones. I wonder what the motivation behind this deluge of tests is. Is it wanton obfuscation (seems unlikely), a […] The post An inundation of significance tests appeared first on Statistical Modeling, Causal Inference,…

Mon: An inundation of significance tests Tues: Stock, flow, and two smoking regressions Wed: What’s the worst joke you’ve ever heard? Thurs: Cracked.com > Huffington Post, Wall Street Journal, New York Times Fri: Measurement is part of design Sat: “17 Baby Names You Didn’t Know Were Totally Made Up” Sun: What to do to train […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…