Dr Mircea Zloteanu 🍁 🍃
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mzloteanu.bsky.social
Dr Mircea Zloteanu 🍁 🍃
@mzloteanu.bsky.social
Lecturer Psych & Crim @kingscollegelondon.bsky.social | Deception Detection; Emotions; JDM | Open Science; R; Bayes | @ukrepro ReproTea & StatsTea | #statstab | 🇷🇴 🇬🇧🌍

Stats blog: https://mzloteanu.substack.com/
#statstab #456 Shall we count the living or the dead?

Thoughts: survival ratio -> if the intervention increases risk of the outcome
risk ratio -> if the intervention reduces risk of the outcome

#causalinference #riskratios #survivalanalysis #estimand

arxiv.org/abs/2106.063...
Shall we count the living or the dead?
In the 1958 paper "Shall we count the living or the dead?", Mindel C. Sheps proposed a principled solution to the familiar problem of asymmetry of the relative risk. We provide causal models to clarif...
arxiv.org
November 10, 2025 at 7:01 PM
#statstab #455 {plotROC} Generate ROC Curve Charts for Print and Interactive Use

Thoughts: I dislike ROC curves, just check out the way you show uncertainty on them.

#roc #auc #roccurve #specificity #sensitivity #signaldetection #sdt
#ggplot #r

sachsmc.github.io/plotROC/arti...
Generate ROC Curve Charts for Print and Interactive Use
sachsmc.github.io
November 7, 2025 at 8:43 PM
Maybe if statisticians started every sentence with "Yes, you are right. Let me do that for you"
The advances we've made in statistics, experimental study design, and causal inference over the past century are remarkably useful for understanding our world. But there is never been a push to make people use them like we are seeing with generative AI. Perhaps take a moment to consider why.
November 7, 2025 at 9:36 AM
#statstab #454 {Projoint} The One-Stop Conjoint Shop

Thoughts: Conjoint analyses will be the future for many (once they figure out what they are)

#conjointanalysis #rstats #r #groupanalysis

yhoriuchi.github.io/projoint/ind...
Conjoint Analysis with Reliability Correction and Visualization
Provides tools for analyzing data generated from conjoint survey experiments, a method widely used in the social sciences for studying multidimensional preferences. The package implements estimation o...
yhoriuchi.github.io
November 6, 2025 at 7:36 PM
Can you spot a traitor? Unlikely. But can someone's demeanour affect our perception of them?

I contributed to this @BBC piece relating to the finally of #CelebrityTraitors

#TheTraitors #bbc #liedetection

www.bbc.co.uk/news/resourc...
The science of a trustworthy face - and how to spot a liar (or Traitor) - BBC News
Scientists suggest that trustworthiness is influenced by facial expressions - and levels of attractiveness.
www.bbc.co.uk
November 6, 2025 at 12:06 PM
#statstab #453 {Bayes Power}
A General Application of Power and Sample Size Calculation for the Bayes Factors

Thoughts: Blending frequentist notions of power with bayes hypothesis testing.

#poweranalysis #bayesian #bayesfactor #errorrate #rstats #nhbt

doi.org/10.31234/osf...
OSF
doi.org
November 5, 2025 at 7:08 PM
#statstab #452 Assumption Checking Prevents Assumption Hacking in Multiverse Meta-Analyses

Thoughts: Heterogeneity, publication bias, multiverse analysis, z-curve and more.

#zcurve #multiverse #heterogeneity #metaanalysis #bias #publicationbias

replicationindex.com/2025/06/13/a...
Assumption Checking Prevents Assumption Hacking in Multiverse Meta-Analyses - Replicability-Index
In a nutshell Statistical methods for meta-analyses make different assumptions. For this reason, different methods can produce different results with the same data. Meta-analysts often struggle to mak...
replicationindex.com
November 4, 2025 at 6:16 PM
📄 New paper out: Behind Bars and Lies

Are good liars also good lie detectors? Not really, but it depends; for prisoners there was little evidence for a “deception-general” ability. For the public, we find moderate evidence for one.

See full paper:
onlinelibrary.wiley.com/doi/10.1002/...
Behind Bars and Lies: Dark Personality Traits, Lying, and Detecting Deception in the Prison Population Versus the General Community
We investigated the existence of a “deception-general” ability (association between the ability to produce and detect lies) in 140 individuals (80 from prison and 60 from the general community) using...
onlinelibrary.wiley.com
November 4, 2025 at 9:22 AM
#statstab #451 Weighted Brier Score

Thoughts: Prediction is important for some research questions (e.g. clinical). But the standard one has some limitations.

#prediction #brierscore #auc #clinical #risk

arxiv.org/html/2408.01...
Weighted Brier Score - an Overall Summary Measure for Risk Prediction Models with Clinical Utility Consideration
arxiv.org
November 3, 2025 at 8:42 PM
#statstab #450 Fitting GAMs with brms

Thoughts: Assuming linearity of your continuous predictors is not needed when you can add wiggles!

#gam #glmm #linearmodel #modelling #brms #rstats #bayes #tutorial #splines #r

fromthebottomoftheheap.net/2018/04/21/f...
Fitting GAMs with brms: part 1
Regular readers will know that I have a somewhat unhealthy relationship with GAMs and the mgcv package. I use these models all the time in my research but recently we’ve been hitting the limits of the...
fromthebottomoftheheap.net
October 31, 2025 at 5:20 PM
#statstab #449 Significance tests, p-values, and falsificationism

Thoughts: A statistician and a philosopher debate p-values (not the setup to a joke). Good thread.

#pvalues #significance #nhst #fisher #greenland #epistemology #statistics

discourse.datamethods.org/t/significan...
Significance tests, p-values, and falsificationism
This thread takes its inspiration from the recent discussions in social science and statistics about significance tests, what they’re good for, whether p-values should be banned, and what all of that ...
discourse.datamethods.org
October 30, 2025 at 5:40 PM
#statstab #448 {metaforest} Small sample meta-analysis

Thoughts: "a machine-learning based, exploratory approach to identify relevant moderators in meta-analysis"

#ML #MachineLearning #metaanalysis #smallsample #samplesize #heterogeneity #moderator

cjvanlissa.github.io/metaforest/a...
Introduction to metaforest
cjvanlissa.github.io
October 29, 2025 at 6:24 PM
Reposted by Dr Mircea Zloteanu 🍁 🍃
I am hiring PhD candidates to study the psychology of attention & technology use at @tilburg-university.bsky.social.

We're looking for motivated & curious scholars with expertise in cognitive psychology and statistics, and offer a friendly work environment with great terms & benefits.

tiu.nu/22989
October 23, 2025 at 3:04 PM
Reposted by Dr Mircea Zloteanu 🍁 🍃
New release of PowerLMM.js! Browser-based power analysis for longitudinal models with dropout.

Now includes:
- Power analysis summary report
- Reproducible & shareable configs (URL/JSON)
- Calculations validated against R
- Hypothesis region visualization

powerlmmjs.rpsychologist.com
October 28, 2025 at 2:02 PM
#statstab #447 Why do we use a one-tailed test F-test in analysis of variance (ANOVA)?

Thoughts: Directional tests are not the same things as one-tailed tests! Confusing at first.

#onetailed #directional #Ftest #ANOVA #chisquared

stats.stackexchange.com/questions/67...
Why do we use a one-tailed test F-test in analysis of variance (ANOVA)?
Can you give the reason for using a one tailed test in the analysis of variance test? Why do we use a one-tail test - the F-test - in ANOVA?
stats.stackexchange.com
October 28, 2025 at 7:05 PM
#statstab #446 {causaldata} Packages of Example Data for The Effect

Thoughts: On your journey to learning Causal Inference you can use some nice datasets to figure out how horrible it can all go.

#causalinference #observational #python #r #DAG #OS

github.com/NickCH-K/cau...
GitHub - NickCH-K/causaldata: Packages of Example Data for The Effect
Packages of Example Data for The Effect. Contribute to NickCH-K/causaldata development by creating an account on GitHub.
github.com
October 27, 2025 at 5:33 PM
After years of seeing people apply t-test to every data type, design, and question under the sun in psychology, yeah I do have a visceral reaction to it!
people are so reflexively mad about "parametric distributional assumptions" used for shrinkage and prediction im gonna start calling it "Gauss-adjusted squared loss shrinkage and prediction" instead
October 25, 2025 at 8:04 AM
#statstab #445 What are credible priors and what are skeptical priors?

Thoughts: An excellent thread on prior elicitation by some of the big names in the field (frequentist and bayesian).

#priors #bayesian #bayes #likelihood #medicine #clinical #debate

discourse.datamethods.org/t/what-are-c...
What are credible priors and what are skeptical priors?
A few weeks ago Dan Scharfstein asked a group of colleagues about how to report an odds ratio of 1.70 with 95% confidence limits of 0.96 and 3.02. Back-calculating from these statistics gives a two-si...
discourse.datamethods.org
October 24, 2025 at 6:55 PM
Reposted by Dr Mircea Zloteanu 🍁 🍃
It also reminded me of the “stats maven” concept coined by @sanjaysrivastava.com some very long time ago, I believe here? thehardestscience.com/2014/12/04/s...
October 22, 2025 at 4:18 PM
#samplesize and #ethics question: You plan for a study needing n=100 (50 per cell). Power analysis is all set up and pre-reg. But, because you do research in a uni, you are told you need to allow for more participants (students) as there is a set number of credits all need to reach. What do you do?
October 24, 2025 at 2:51 PM
A: The study is OBS, so we must be cautious in our inference
B: But wait, we have thousands of data points!
A: Why didn't you say that from the start!? Then it's all good! We can conclude whatever!
B: INDEED, everyone knows when N is big randomization isn't needed!
* everyone cheers *
The Big Data fallacy 😱

Research by Vosgerau et al suggests decision-makers tend to interpret correlational relationships as causal when sample sizes are large (vs small)—even when given experimental evidence showing no or opposite causal effect:

buff.ly/5ZjWJ8E
October 24, 2025 at 9:24 AM
#statstab #444 {popower}: Power and Sample Size for Ordinal Response

Thoughts: Not the most intuitive but useful if you know the DGP will use ordinal data.

#ordinal #poweranalysis #power #effectsize #rstats #stats

rdrr.io/cran/Hmisc/m...
popower: Power and Sample Size for Ordinal Response in Hmisc: Harrell Miscellaneous
rdrr.io
October 23, 2025 at 7:34 PM
🎉🍻🥳 Thank you all for subscribing. More posts to come this year. Subscribe now:
mzloteanu.substack.com

#substack #statstab #statistics #FiguringStuffOut
October 23, 2025 at 4:11 PM
#statstab #443 Dienes Bayes factor calculator

Thoughts: Dienes presents a different way to compute BFs using the sample data. But, this can be seen as an acceptable double-dipping.

#bayesian #bayesfactor #evidence #likelihood #guide

bencepalfi.shinyapps.io/Dienes_BF_ca...
Dienes Bayes factor calculatorDienes Bayes factor calculator
bencepalfi.shinyapps.io
October 22, 2025 at 6:45 PM
Reposted by Dr Mircea Zloteanu 🍁 🍃
Can you predict when Lou Bega's greatest hit, Mambo No. 5, was released based on the names of all the women mentioned in the song?

Weirdly yes.

yawpr.substack.com/p/project-a-...

#databs #rstats
October 21, 2025 at 8:24 PM