#hypothesistesting

Dr Mircea Zloteanu ❄️☃️🎄mzloteanu
2026-02-04

#478 Equivalence Tests {marginaleffects}

Thoughts: Often you want to test "no difference" in more complex models than many packages or software permit.
With a few lines of code you can do that for most models.

marginaleffects.com/chapters/p

Hacker Newsh4ckernews
2025-12-16

ArkhamMirror: Airgapped investigation platform with CIA-style hypothesis testing

github.com/mantisfury/ArkhamMi

Bjørn Sætreviksatrevik@fediscience.org
2025-10-08

In an hour and a half (12:30 UTC / 14:30 CET) I'll give a lightning talk at the online BTS conference about the tool we are putting together for standardizing hypotheses.

Free registration: bigteamscienceconference.githu
Tool: tinyurl.com/hypothesizer
Slides: docs.google.com/presentation/d

#BigTeamScience #BigTeamScience2025 #bts2025 #OpenScience #HypothesisTesting #NHST #HypothesisStandardization #hypothesizer #AcademicChatter

CSTBooksCSTbooks_
2025-09-09

Statistics: Concepts and Controversies (10th Edition) – eBook

Overview: Why This Book Matters

Statistics: Concepts and Controversies (10th Edition) — widely abbreviated as SCC 10e — is more than just a statistics text

cstbooks.com/uncategorized/sta

CoListycolisty
2025-01-16

Intro to Statistical Analysis with SAS/STAT Software | CoListy
Learn t-tests, ANOVA, regression, and predictive modeling with SAS/STAT. Master essential statistical techniques for data analysis. | CoListy
/stat

colisty.netlify.app/courses/st

Cheng Soon Ongcheng@masto.ai
2024-11-29

What is the chance that: if I repeat an experiment (that has a statistically significant result), the repeated experiment also has a significant result in the same direction?

This paper carefully constructs a relationship between p-values and #replication probability for binary classification.
jmlr.org/papers/v25/24-0158.ht
#MachineLearning #HypothesisTesting

Statistics GlobeStatisticsGlobe
2024-09-04

I’ve just released a new YouTube video on how to perform an analysis of variance (ANOVA) using the R programming language.

Check out the video: youtube.com/watch?v=b2KmIWGQkrU

This video is also a preview of the upcoming Statistics Globe online course, "Statistical Methods in R," which starts on September 9.

Check out the course: statisticsglobe.com/online-cou

Dr Mircea Zloteanu ❄️☃️🎄mzloteanu
2024-07-31

#148 Bayes Factors and how to use them, via {bayestestR} pkg

Thoughts: A go-to packages for bayesian model inference. Also has a great explanation of BFs, how to use them, and alternatives.

easystats.github.io/bayestestR

Bayes Factor and plot
Answers in ReasonAnswersInReason@masto.nu
2024-06-01

Misunderstanding the Null Hypothesis: Answers In Reason

Misunderstanding the Null

#Science #hypothesis #hypotheses #HypothesisTesting #NullHypothesis

Answers in ReasonAnswersInReason@masto.nu
2024-03-05

Is Atheism the Null Hypothesis / Default Position?: Godless Scummer

youtube.com/watch?v=PBTgsWhwjB

Want to give some thoughts upon a recent tweet by Matt Dillahunty on whether Atheism is the Null Hypothesis,

Please check out this short video by Answers In Reason.

youtube.com/watch?v=YKMpeq0i76

#Science #Philosophy #hypothesis #PhilosophiesOf #AnswersinReason #hypotheses #PhilosophyOfReligion #POR #HypothesisTesting #Theism #Atheism #Nontheism #NullHypothesis

Dr Mircea Zloteanu ❄️☃️🎄mzloteanu
2023-01-14

Part II of my series on what to do with non-significant results is up now.

In this post, I focus on how to determine if your data is compatible with the claim of "no effect" (and why relying on p-values is wrong). It covers TOST equivalence tests and how to interpret and write up your results for publication. Link below 🔗

mzstats.blogspot.com/2023/01/w

2022-12-23

Exploratory hypothesis testing:

Nice to see that our article “Exploratory hypothesis tests can be more compelling than confirmatory hypothesis tests” (doi.org/10.1080/09515089.2022.), which was published 4 months ago, is the most read article in @PhilosophicalPsychology in the last 12 months: tandfonline.com/action/showMos

#Psychology
#PhilosophyOfScience
#PhilSci
#MetaScience
#Preregistration
#HypothesisTesting

Abstract

Preregistration has been proposed as a useful method for making a publicly verifiable distinction between confirmatory hypothesis tests, which involve planned tests of ante hoc hypotheses, and exploratory hypothesis tests, which involve unplanned tests of post hoc hypotheses. This distinction is thought to be important because it has been proposed that confirmatory hypothesis tests provide more compelling results (less uncertain, less tentative, less open to bias) than exploratory hypothesis tests. In this article, we challenge this proposition and argue that there are several advantages of exploratory hypothesis tests that can make their results more compelling than those of confirmatory hypothesis tests. We also consider some potential disadvantages of exploratory hypothesis tests and conclude that their advantages can outweigh the disadvantages. We conclude that exploratory hypothesis tests avoid researcher commitment and researcher prophecy biases, reduce the probability of data fraud, are more appropriate in the context of unplanned deviations, facilitate inference to the best explanation, and allow peer reviewers to make additional contributions at the data analysis stage. In contrast, confirmatory hypothesis tests may lead to an inappropriate level of confidence in research conclusions, less appropriate analyses in the context of unplanned deviations, and greater bias and errors in theoretical inferences.
रञ्जित (Ranjit Mathew)rmathew
2021-08-07

“The Difference Between ‘Significant’ And ‘Not Significant’ Is Not Itself Statistically Significant” [2012], Andrew Gelman & Hal Stern, The American Statistician (tandfonline.com/doi/abs/10.119).

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