GRADE approach to rate the certainty from a network meta-analysis: avoiding spurious judgments of imprecision in sparse networks - PubMed When direct and indirect estimates of treatment effects are coherent, network meta-analysis (NMA) estimates should have increased precision (narrower confidence or credible intervals compared with relying on direct estimates alone), a benefit of NMA. We have, however, observed cases of sparse networ …

In network #MetaAnalysis (NMA) sparse networks sometimes yield bizarrely wide #ConfidenceIntervals. The solution we discovered after trying many alternatives perhaps surprising: switch from random effects to fixed effect.

pubmed.ncbi.nlm.nih.gov/30253217/

Sample Size Planning for Statistical Power and Accuracy in Parameter Estimation | Annual Reviews This review examines recent advances in sample size planning, not only from the perspective of an individual researcher, but also with regard to the goal of developing cumulative knowledge. Psychologi...

#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

www.annualreviews.org/content/jour...

Uncertainty Estimation with Conformal Prediction – Michael Clark More options for uncertainty estimation

#statstab #357 Uncertainty Estimation with Conformal Prediction

Thoughts: Haven't parsed this properly but maybe be an interesting discussion point. How best to quantify uncertainty?

#conformalprediction #bayesian #confidenceintervals #uncertainty

m-clark.github.io/posts/2025-0...

CPH Focus: Evidence-Based Approaches to Public Health: Biostatistics – Inferential Statistics: Confidence Intervals ALT: An oil painting of the Great Falls of Snake River, with dry desert cliffs and desert shrubs surrounding a raging river with the tops of waterfalls being exposed and heavy cloud cover.

🧪 🛟 CPH Focus: Master confidence intervals; essential for precise estimation and informed decision-making. Get clear on calculations, interpretations, and practice questions here: www.broadlyepi.com/cph-focus/cp... #EpiSky #MedSky #Biostatistics #ConfidenceIntervals #CPH #PublicHealth

Frontiers | Confidence intervals and tests are two sides of the same research question A commentary on The new statistics: why and how by Cumming, G. (2014). The new statistics: why and how. Psychol. Sci. 25(1), 7-29. doi: 10.1177/0956797613504...

#statstab #337 Confidence intervals and tests are two sides of the same research question

Thoughts: Comment describing the connection between NHST p-values/test and Confidence Intervals (CI).

#NHST #ConfidenceIntervals #pvalues #frequentist #estimation

doi.org/10.3389/fpsy...

#confidenceintervals

What fraction of repeat experiments will have an effect size within the 95% confidence interval of the first experiment? Let's stick to an ideal situation with random sampling, Gaussian populations, equal variances, no P-hacking, etc. Step 1. You run an experiment say comparing two sample means, and compute a 95%

#statstab #315 What fraction of repeat experiments will have an effect size within the 95% confidence interval of the first experiment?

Thoughts: CV is a great place to learn. We see the same answer as Cumming: 83%

#replicability #confidenceintervals

stats.stackexchange.com/questions/21...

Understanding Precision-Based Sample Size Calculations | UVA LibraryFederal Depository Library Program

#statstab #312 {presize} pkg: Understanding Precision-Based Sample Size Calculations

Thoughts: Do you care about effect sizes? Then precision-based planning is for you. Expect higher Ns!

#r #samplesize #precision #estimation #power #Confidenceintervals

library.virginia.edu/data/article...

#statstab #268 Understanding Confidence Intervals With Visual Representations

Thoughts: A decent overview of CIs and how they can aid inference. Also a shoutout to the {esci} website. Great tools for teaching.

#confidenceintervals #estimation #effects

www.researchgate.net/publication/...

#statstab #256 Rule of three (95%CI for no event)

Thoughts: Sometimes you have 0 recorded events, so how do you compute a Confidence Interval? Using the rule of 3!

#Confidenceintervals #clinical #effectsize #statistics

en.m.wikipedia.org/wiki/Rule_of...

'I am 95% sure it will happen... nevertheless there there is a 5% chance it will not'

Confidence intervals: because nothing in life is 100% guaranteed

📉📈

#StatsLife #statistics #ConfidenceIntervals

#ConfidenceIntervals
ChatGPT suggests this wording that avoids false statements about probability.
I am 95% confident that the true parameter is within this interval [because the method is 95% correct when it is applied correctly and all assumptions hold].

Demystifying Confidence Intervals with Examples Navigating through uncertainty in data for extracting global statistical insights

#statstab #85 Demystifying Confidence Intervals

Thoughts: I like the visuals in this example. And the author recommends bootstrapped CIs which I like (for large datasets).

#dataviz #rstats #research #Confidenceintervals

towardsdatascience.com/demystifying...

Confidence intervals exclude nothing.

#statstab #46 Confidence intervals exclude nothing

Thoughts: Following the heated threads on CIs this wknd, I thought I'd share one of the first papers I know to show why a single CI can be problematic

#NHST #estimation #statistics #Confidenceintervals

www.ncbi.nlm.nih.gov/pmc/articles...