[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

Reminder: Facilitating Collective Power Lab starts this week!
🗓 Oct 15 & 16, 3–6pm UTC, online
Facilitation, solidarity, community strategy—guided FabRiders.
Pay what you can. All are welcome.
Details & signup: https://www.fabriders.net/facilitating-collective-power/
#FacilitativeLeadership #CollectivePower #CommunityLeadership #PowerAnalysis

#statstab #421 Sample Size Planning for Statistical Power and Accuracy in Parameter Estimation

Thoughts: AIPE is based on controlling the width of the CI.
Sample size can be computed independent of effect size!

#samplesize #confidenceintervals #AIPE #power #poweranalysis #precision #accuracy #research #design

https://www.annualreviews.org/content/journals/10.1146/annurev.psych.59.103006.093735

#statstab #417 {pwrss} Practical Power Analysis in R

Thoughts: Some useful vignettes for conducting power analyses for various designs, constraints, and data types.

#poweranalysis #samplesize #r #power #guide #tutorial #sesoi #equivalence #tost #rstats

https://cran.r-project.org/web/packages/pwrss/vignettes/examples.html

#statstab #371 Safeguard Power as a Protection Against Imprecise Power Estimates

Thoughts: tl;dr - when replicating a study, use the lower end of the CI of the original study as your effect in a power analysis.

#poweranalysis #samplesize #replication

https://journals.sagepub.com/doi/10.1177/1745691614528519

🚨New blog post 📝: Your Study Is Too Small (If You Care About Practically Significant Effects)

#effectsize #precision #poweranalysis #research #Psychology #MCID #SESOI #samplesize

https://open.substack.com/pub/mzloteanu/p/your-study-is-too-small-if-you-care?r=3b457w&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

Correlation Power Analysis with a Leakage Model

Eric Brier, Christophe Clavier, and Francis Olivier

https://www.iacr.org/archive/ches2004/31560016/31560016.pdf

#hardwarehacking #hacking #poweranalysis

#statstab #230 Power and Sample Size Determination

Thoughts: Frequentist power is a complicated and non-intuitive thing, so it's good to read various tutorials/papers until you find one that sticks.

#stats #poweranalysis #power #NHST #effectsize

https://sphweb.bumc.bu.edu/otlt/mph-modules/bs/bs704_power/bs704_power_print.html

#statstab #192 Statistical Power from Pilot Data

Thoughts: One new use for pilot data - estimating the SE to power your study. If you can follow the formula. By @CarlisleRainey

#pilot #experiments #poweranalysis #standarderror #simulation #methodology

https://www.carlislerainey.com/blog/2024-06-03-pilot-power/

#statstab #189 Post Hoc Power: Not Empowering, Just Misleading

Thoughts: "the observed power is a 1:1 function of the P value" If you need a ref for why "post hoc" power is nonsense (paywalled).

#power #posthoc #QRPs #errorcontrol #poweranalysis

https://www.sciencedirect.com/science/article/pii/S0022480420305023

#statstab #155 Power & Sample Size calculations for ordinal data {Hmisc}

Thoughts: An appropriate sample size is just as important as an appropriate (ordinal) analysis. Nice guide for a 2-group design with a Likert-type DV.

#ordinal #NHST #poweranalysis

https://library.virginia.edu/data/articles/power-and-sample-size-calculations-ordered-categorical-data

Undo Arduino Encryption with an Oscilloscope https://hackaday.com/2024/07/14/undo-arduino-encryption-with-an-oscilloscope/ #SecurityHacks #poweranalysis #ArduinoHacks #cryptography #arduino #crypto #rsa

it is very easy to tell two chips apart based on their startup power consumption. reset is negated at around 6500; after that moment, code starts executing. so the part before it should depend solely on the chip.

#spa #poweranalysis