Today, I released a new module in the Statistics Globe Hub that explains how to perform sample size calculation using power analysis.

More info about the Statistics Globe Hub: https://statisticsglobe.com/hub

#rstats #datascience #statistics #poweranalysis #samplesize #studyplanning #statisticsglobehub

[Petit rappel de 2017] 2017 vs 2026 : Deux visions géopolitiques en un seul clash 🌍⚡

https://video.infosec.exchange/w/xbJ3z8M24MhufpP4BkwaqU

#statstab #464 Should a pilot study change your study design decisions?

Thoughts: You shouldn't use the ES, but you can use the SD (see also #192) for planning.

#pilot #experiments #poweranalysis #standarderror #simulation #methodology #SD #TypeM

https://declaredesign.org/blog/posts/pilot-studies.html

New blog post out!

Power analysis – A flexible simulation approach using R
https://www.nicolaromano.net/data-thoughts/power-analysis-simulation/

I go through why power matters, how to use Monte Carlo simulations to estimate it, and how this approach can be useful not only to define sample size, but also to refine experimental design.
#rstats #statistics #biostats #datascience #experimentaldesign #poweranalysis

#statstab #479 Uncertainty limits the use of power analysis

Thoughts: Frequentists avoiding uncertainty is never good.

#poweranalysis #error #uncertainty #simulation #cohend #effectsize

https://www.researchgate.net/publication/361158443_Uncertainty_limits_the_use_of_power_analysis

#statstab #477 Simulating data for Dirichlet regression with varying estimates

Thoughts: Interesting thread about an underused model.

#Dirichlet #brms #poweranalysis #rstats #proportions #stan #forum

https://discourse.mc-stan.org/t/simulating-data-for-dirichlet-regression-with-varying-estimates/35325

#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

https://doi.org/10.31234/osf.io/pgdac_v1

#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

https://rdrr.io/cran/Hmisc/man/popower.html

#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

https://journals.sagepub.com/doi/10.1177/0193841X251380898