#statstab #346 Jeffreys-Lindley paradox

Thoughts: I like this short explanation of the "paradox" of why frequentist and bayesian inference can differ.

#paradox #frequentist #bayesian #inference #bayesfactor #pvalue #explanation

https://michael-franke.github.io/intro-data-analysis/jeffreys-lindley-paradox.html

#statstab #337 Confidence intervals and tests are two sides of the same research question

Thoughts: Comment describing the connection between NHST p-values/test and Confidence Intervals (CI).

#NHST #ConfidenceIntervals #pvalues #frequentist #estimation

https://doi.org/10.3389/fpsyg.2015.00034

#statstab #335 Bayesian New Statistics

Thoughts: An influential paper with a great overview of different approaches to research.

#bayesian #nhst #nhbt #estimation #testing #frequentist
https://link.springer.com/content/pdf/10.3758/s13423-016-1221-4.pdf

What’s your take?

Are you still holding onto Bayesian priors, or are you ready to bin it?

Let’s discuss! 👇 #DataScience #Statistics #Frequentist #MachineLearning #Bayesianism

#statstab #289 The meaning of significance in data testing

Thoughts: Fisherian significance testing =/= Neyman-Pearson statistical hypothesis testing. Many debates on p-values and frequentist stats are due to this confusion.

#pvalues #NHST #frequentist

https://doi.org/10.3389/fpsyg.2015.01293

#statstab #287 Dance of the p Values

Thoughts: One of my go-to demonstrations for the variability of p-values, and why they say so little about a study.

#pvalues #NHST #education #estimation #frequentist #replication #error #visualization #teaching

https://youtu.be/5OL1RqHrZQ8

People who insist that #bayesian methods are trash are just as weird as those who insist that #frequentist methods are always misleading. Stop pinning your personal identities to methods, friends.

#statstab #270 Seeing Theory: Frequentist Inference

Thoughts: Are you learning about NHST? Are you a visual learner? This might be for you.

#NHST #dataviz #visualisation #learning #education #teaching #frequentist

https://seeing-theory.brown.edu/frequentist-inference/index.html

I expect a Nobel Prize for Peace (!) will be awarded to that Mathematician who creates a statistical framework unifying frequentist and Bayesian statistics.

#Statistics #Frequentist #Bayesian #NobelPrize #peace

#statstab #182 P-values as percentiles

Thoughts: "The percentile heuristic is a more accurate model [] for interpreting observed p-values."

#pvalues #frequentist #QRPs #stats #NHST

https://doi.org/10.3389%2Ffpsyg.2015.00341

OK, I'm going to have to recalibrate my brain for a few weeks.

"Bayesian yacht sinking" just activates way too many nodes in my brain.

How would a Bayesian sink a yacht?

What is the most #Bayesian method of sinking a yacht? How does it differ from #Frequentist methods?

What are the yacht-sinking priors?

#statistics #humor

#statstab #96 Frequentist statistical inference without repeated sampling

Thoughts: Finite frequentism or Hypothetical frequentism? Which provides more insights? Should be interpret observed CIs and p-values?

#statistics #frequentist #probability

https://link.springer.com/article/10.1007/s11229-022-03560-x

#statstab #90 Improving the utility of non-significant results [...]

Thoughts: OK overview, but a fairly naive take on what to do with non-sig results. Also, plz don't just report #bayesfactors and call it a day!

#pvalues #NHST #frequentist #education

https://www.sciencedirect.com/science/article/pii/S1747938X23000830

#statstab #62 Alternative for p-values [plot effects]

Thoughts: I think G-A plots are very nice and provide more info than typical bar plots. Not sure if they are exactly an "alternative" to p-values.

#stats #pvalues #NHST #frequentist #dataviz

https://thenode.biologists.com/quantification-of-differences-as-alternative-for-p-values/research/

#statstab #54 Three-decision method (Tukey's sensible formulation)

Thoughts: Not sufficiently confused about what NHST is and isn't? Well, here's another version to consider.

#stats #pvalues #NHST #frequentist

https://www.annualreviews.org/content/journals/10.1146/annurev-statistics-033021-111159

📢 Episode 97 with Allen Downey is out!
In this episode, we cover
- right & wrong ways of looking at #statistical #data
- the Overton #paradox
- claims such as "#Bayesian and #frequentist methods often yield the same result"
- his new book: "Probably Overthinking it"

Tune in here:
https://learnbayesstats.com/episode/97-probably-overthinking-statistical-paradoxes-allen-downey/

@krysdolega A #Bayesian or a #Pragmaticist will agree to the position of #Neurath as stated by #Zolo. I often see this such criticism needed when sociology and #psychology turn to a pseudo-objectivism of the #Fisherian, #frequentist, kind.

A THREAD on a dead horse, #Frequentist vs #Bayesian inference, because why not?

(retro hits from the bad place, now that someone set fire to it again, and by hits I mean it got two retweets since I originally posted it four years ago, which is like a record for me)

#stats #statstodon #statschat #frequentist #NHST
Considering the concept of severe testing (Mayo), is there any point in planning for or running an hypothesis test if I instead determine my SESOI or predict a range of effects (e.g., 0.2<d<1.0)?

Shouldn't I just pre-register an equivalence test with those bounds, and avoid the "null hypothesis" test completely?

`2016 Naaman, "Almost sure hypothesis testing and a resolution of the Jeffreys-Lindley paradox"` #stats #statistics #bayesian #frequentist #hypothesis #testing #experiments #science #quantitative #methods

https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-10/issue-1/Almost-sure-hypothesis-testing-and-a-resolution-of-the-Jeffreys/10.1214/16-EJS1146.full