#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
#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 #replication #metascience #estimation #research #science
#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
https://library.virginia.edu/data/articles/understanding-precision-based-sample-size-calculations
#statstab #295 The Fallacy of the Null-Hypothesis Significance Test
Thoughts: "the [..] aim of a scientific experiment is not to precipitate decisions, but to make an appropriate adjustment in the degree to which one accepts, or believes, the hypothesis"
#NHST #Bayes #ConfidenceIntervals #pvalues #significance #testing #hypotheses #likelihood #critique #fallacy
#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.
#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!
“If confidence procedures do not allow an assessment of the probability that an interval contains the true value, if they do not yield measures of precision, and if they do not yield assessments of the likelihood or plausibility of parameter values, then what are they?”
#statistics #stats #ConfidenceIntervals
#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
https://towardsdatascience.com/demystifying-confidence-intervals-with-examples-7bdef30f7b0a
#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
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1646956/?page=2
#stats Q: Confidence Intervals (CI) confuse many researchers. I think it is partly because, just like p-values, you can use them to make *per study* inferences and/or *long-run* (frequentist) inferences.
Maybe we could call the two methods "descriptive CI" and "decision CI"?
