Posts Tagged ‘ Miscellaneous Statistics ’

Statistical analysis on a dataset that consists of a population

April 25, 2015
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This is an oldie but a goodie. Donna Towns writes: I am wondering if you could help me solve an ongoing debate? My colleagues and I are discussing (disagreeing) on the ability of a researcher to analyze information on a population. My colleagues are sure that a researcher is unable to perform statistical analysis on […] The post Statistical analysis on a dataset that consists of a population appeared first…

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Statistical significance, practical significance, and interactions

April 24, 2015
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Statistical significance, practical significance, and interactions

I’ve said it before and I’ll say it again: interaction is one of the key underrated topics in statistics. I thought about this today (OK, a couple months ago, what with our delay) when reading a post by Dan Kopf on the exaggeration of small truths. Or, to put it another way, statistically significant but […] The post Statistical significance, practical significance, and interactions appeared first on Statistical Modeling, Causal…

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Go to PredictWise for forecast probabilities of events in the news

April 19, 2015
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Go to PredictWise for forecast probabilities of events in the news

I like it. Clear, transparent, no mumbo jumbo about their secret sauce. But . . . what’s with the hyper-precision: C’mon. “27.4%”? Who are you kidding?? (See here for explication of this point.) The post Go to PredictWise ...

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Perhaps the most contextless email I’ve ever received

April 16, 2015
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Date: February 3, 2015 at 12:55:59 PM EST Subject: Sample Stats Question From: ** Hello, I hope all is well and trust that you are having a great day so far. I hate to bother you but I have a stats question that I need help with: How can you tell which group has the […] The post Perhaps the most contextless email I’ve ever received appeared first on Statistical…

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A message I just sent to my class

April 15, 2015
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I wanted to add some context to what we talked about in class today. Part of the message I was sending was that there are some stupid things that get published and you should be careful about that: don’t necessarily believe something, just cos it’s statistically significant and published in a top journal. And, sure, […] The post A message I just sent to my class appeared first on Statistical…

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“For better or for worse, academics are fascinated by academic rankings . . .”

April 14, 2015
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I was asked to comment on a forthcoming article, “Statistical Modeling of Citation Exchange Among Statistics Journals,” by Christiano Varin, Manuela Cattelan and David Firth. Here’s what I wrote: For better or for worse, academics are fascinated by academic rankings, perhaps because most of us reached our present positions through a series of tournaments, starting […] The post “For better or for worse, academics are fascinated by academic rankings .…

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But when you call me Bayesian, I know I’m not the only one

April 6, 2015
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But when you call me Bayesian, I know I’m not the only one

Textbooks on statistics emphasize care and precision, via concepts such as reliability and validity in measurement, random sampling and treatment assignment in data collection, and causal identification and bias in estimation. But how do researchers decide what to believe and what to trust when choosing which statistical methods to use? How do they decide the […] The post But when you call me Bayesian, I know I’m not the only…

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How is ethics like logistic regression?

March 30, 2015
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Ethics decisions, like statistical inferences, are informative only if they’re not too easy or too hard. For the full story, read the whole thing. The post How is ethics like logistic regression? appeared first on Statistical Modeling, Causal Inf...

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Regression: What’s it all about? [Bayesian and otherwise]

March 29, 2015
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Regression: What’s it all about? Regression plays three different roles in applied statistics: 1. A specification of the conditional expectation of y given x; 2. A generative model of the world; 3. A method for adjusting data to generalize from sample to population, or to perform causal inferences. We could also include prediction, but I […] The post Regression: What’s it all about? [Bayesian and otherwise] appeared first on Statistical…

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Paul Meehl continues to be the boss

March 23, 2015
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Lee Sechrest writes: Here is a remarkable paper, not well known, by Paul Meehl. My research group is about to undertake a fresh discussion of it, which we do about every five or ten years. The paper is now more than a quarter of a century old but it is, I think, dramatically pertinent to […] The post Paul Meehl continues to be the boss appeared first on Statistical Modeling,…

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