#statstab
LightNews LightNews
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
🎉🍻🥳 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
mzloteanu.bsky.social
#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
mzloteanu.bsky.social
#statstab #442 Understanding uncertainty in school league tables

Thoughts: Rankings are virtually meaningless, especially neighbour values.

#ranking #comparison #uncertainty #QRPs #education #academia

research-information.bris.ac.uk/ws/portalfil...
research-information.bris.ac.uk
October 21, 2025 at 7:31 PM
mzloteanu.bsky.social
#statstab #441 Bayes-by Shower

Thoughts: Comprehensive (read: long) tutorial on bayesian analysis and how to think about research.

#bayes #rstats #bayesian #tutorial #DAGs #estimand #observational #design

betanalpha.github.io/assets/chapt...
Bayes-by Shower
betanalpha.github.io
October 20, 2025 at 7:42 PM
mzloteanu.bsky.social
#statstab #440 Computing Statistical Power for the Difference in Differences Design

Thoughts: DiD studies are all the rage in Obs research. But how does the concept of power apply to them?

#poweranalysis #DiD #causalinference #samplesize #observational

journals.sagepub.com/doi/10.1177/...
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
journals.sagepub.com
October 17, 2025 at 7:20 PM
mzloteanu.bsky.social
#statstab #439 {ZOID}

Thoughts: "zero-and-one inflated Dirichlet regression (also known as trinomial mixture models) in a Bayesian framework (Stan)"
Useful for composite proportions.

#Dirichlet #bayesian #stan #r #rstats #proportions

noaa-nwfsc.github.io/zoid/index.h...
Bayesian Zero-and-One Inflated Dirichlet Regression Modelling
Fits Dirichlet regression and zero-and-one inflated Dirichlet regression with Bayesian methods implemented in Stan. These models are sometimes referred to as trinomial mixture models; covariates and o...
noaa-nwfsc.github.io
October 16, 2025 at 6:30 PM
mzloteanu.bsky.social
#statstab #438 Introduction to {DataSetsVerse}

Thoughts: It's full teaching season, so here is a package with datasets to use. Covers Crim, Econ, Med and more.

#r #rstats #education #pedagogy #teaching #opendata #OpenScience #data #datasets

lightbluetitan.github.io/datasetsverse/
A Metapackage for Thematic and Domain-Specific Datasets in R
The DataSetsVerse is a metapackage that brings together a curated collection of R packages containing domain-specific datasets. It includes time series data, educational metrics, crime records, medica...
lightbluetitan.github.io
October 15, 2025 at 8:05 PM
mzloteanu.bsky.social
#statstab #437 Speeding up categorical models in {brms}

Thoughts: As I'm currently annoyed with how long some models take, I'm sharing resources to help others.

By @matti.vuorre.com

#brms #categorical #efficiency #rstats #modelling #r #stan

rpubs.com/mvuorre/fast...
RPubs - Speed up categorical brms models with weights
rpubs.com
October 14, 2025 at 6:04 PM
mzloteanu.bsky.social
#statstab #436 {chkptstanr} Checkpoint MCMC Sampling with Stan

Thoughts: This! Allows you to stop and start the sampling in {brms}. Can be a lifesaver.

#rstats #stan #brms #mcmc #efficiency #stanr #hmc #bayesian

donaldrwilliams.github.io/chkptstanr/
chkptstanr
Fit Bayesian models in Stan <doi: 10.18637/jss.v076.i01> with checkpointing, that is, the ability to stop the MCMC sampler at will, and then pick right back up where the MCMC sampler left off. ...
donaldrwilliams.github.io
October 13, 2025 at 6:37 PM
mzloteanu.bsky.social
#statstab #435 Guide to understanding the intuition behind the Dirichlet distribution

Thoughts: Useful for composite proportions, but take ages in brms.

#brms #Dirichlet #proportions #modelling #rstats #r #betareg

www.andrewheiss.com/blog/2023/09...
Guide to understanding the intuition behind the Dirichlet distribution | Andrew Heiss
Learn about the Dirichlet distribution and explore how it’s just a fancier version of the Beta distribution
www.andrewheiss.com
October 10, 2025 at 5:35 PM
mzloteanu.bsky.social
#statstab #434 Exposing omitted moderators: Explaining why effect sizes differ in the social sciences

Thoughts: Maybe our models are too simple to makdle the generalisable claims we want.

#bias #moderator #causalinference #heterogeneity #effect

doi.org/10.1073/pnas...
Exposing omitted moderators: Explaining why effect sizes differ in the social sciences | PNAS
Policymakers increasingly rely on behavioral science in response to global challenges, such as climate change or global health crises. But applicat...
doi.org
October 9, 2025 at 7:19 PM
mzloteanu.bsky.social
#statstab #433 The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients

Thoughts: Adding predictors to your model results in marked changes in inference. Be mindful!

#table2 #fallacy #covariates #bias #inference #regression

doi.org/10.1093/aje/...
The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients
Abstract. It is common to present multiple adjusted effect estimates from a single model in a single table. For example, a table might show odds ratios for
doi.org
October 8, 2025 at 7:45 PM