What Frequentists have: P(X>=C_data|H_0). What Bayesians want: P(H_0|Data, Prior). What some of us would like to know: P(Type 1 error|Researcher +Journal).

We all want to know! #rstats #statssky #Bayesian #Frequentist

17.10 Jeffreys-Lindley paradox | An Introduction to Data Analysis Introductory text for statistics and data analysis (using R)

#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

michael-franke.github.io/intro-data-a...

Frontiers | Confidence intervals and tests are two sides of the same research question A commentary on The new statistics: why and how by Cumming, G. (2014). The new statistics: why and how. Psychol. Sci. 25(1), 7-29. doi: 10.1177/0956797613504...

#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

doi.org/10.3389/fpsy...

#statstab #335 Bayesian New Statistics

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

#bayesian #nhst #nhbt #estimation #testing #frequentist
link.springer.com/content/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

3. #Bayesian vs #Frequentist statistics. Challenging to make accessible but use lots of visuals and examples with impactful results: cancer testing, miscarriages of justice, etc. 3/3

#Education #HigherEducation

Frontiers | The meaning of significance in data testing Recent developments in psychology (e.g., Woolston, 2015a; Trafimow, 2014; Nuzzo, 2014) are showing apparently reasonable but inherently flawed positions agai...

#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

doi.org/10.3389/fpsy...

#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

youtu.be/5OL1RqHrZQ8

Frequentist Inference Frequentist inference is the process of determining properties of an underlying distribution via the observation of data.

#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

seeing-theory.brown.edu/frequentist-...

Who cares if you're #Bayesian or #frequentist, I wanna know if you're team Neyman-Pearson or team Fisher #statsky

Frontiers | P-values as percentiles. Commentary on: “Null hypothesis significance tests. A mix–up of two different theories: the basis for widespread confusion and numerous misinterpretations”

#statstab #181 P-values as percentiles

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

#pvalues #frequentist #QRPs #stats #NHST

doi.org/10.3389%2Ffp...

Frequentist statistical inference without repeated sampling - Synthese Frequentist inference typically is described in terms of hypothetical repeated sampling but there are advantages to an interpretation that uses a single random sample. Contemporary examples are given ...

#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

link.springer.com/article/10.1...

Improving the utility of non-significant results for educational research: A review and recommendations When used appropriately, non-significant p-values have the potential to further our understanding of what does not work in education, and why. When mi…

#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

www.sciencedirect.com/science/arti...

Make a difference: the alternative for p-values - the Node P-values do not quantify differences, but the effect size does. Effect size based on the difference between conditions is a good alternative for the p-value. This blog explains the

#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

thenode.biologists.com/quantificati...

Three-Decision Methods: A Sensible Formulation of Significance Tests—and Much Else | Annual Reviews For real-valued parameters, significance tests can be motivated as three-decision methods, in which we either assert the sign of the parameter above or below a specified null value, or say nothing eit...

#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

www.annualreviews.org/content/jour...

Bayesian versus frequentist http://www.smbc-comics.com/index.php?id=4127 via @SMBCComics #statistics #frequentist #Bayesian