#statstab #458 There is still only one test
Thoughts: Downey make a good point that all/any testing ensemble does essentially the same thing.
#randomization #testing #nhst #pvalue
https://allendowney.blogspot.com/2016/06/there-is-still-only-one-test.html
#statstab #460 {permuco} permutation tests in linear models with nuisances variables
Thoughts: Supports ANOVA, ANCOVA, t-tests and more.
#permutation #randomization #ANOVA #rstats #r #pvalues #ancova #ttest
Functions to compute p-values based on permutation tests. Regression, ANOVA and ANCOVA, omnibus F-tests, marginal unilateral and bilateral t-tests are available. Several methods to handle nuisance variables are implemented (Kherad-Pajouh, S., & Renaud, O. (2010) <doi:10.1016/j.csda.2010.02.015> ; Kherad-Pajouh, S., & Renaud, O. (2014) <doi:10.1007/s00362-014-0617-3> ; Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) <doi:10.1016/j.neuroimage.2014.01.060>). An extension for the comparison of signals issued from experimental conditions (e.g. EEG/ERP signals) is provided. Several corrections for multiple testing are possible, including the cluster-mass statistic (Maris, E., & Oostenveld, R. (2007) <doi:10.1016/j.jneumeth.2007.03.024>) and the threshold-free cluster enhancement (Smith, S. M., & Nichols, T. E. (2009) <doi:10.1016/j.neuroimage.2008.03.061>).
#statstab #413 Counternull Sets in Randomized Experiments
Thoughts: The counternull is a lost statistic, that is woefully underused when teaching stats.
#counternull #nhst #pvalue #effectsize #teaching #randomization #rosenthal
https://www.tandfonline.com/doi/pdf/10.1080/00031305.2024.2432884?download=true
#statstab #318 Simple permutation tests in R
by #MacTheobio
Thoughts: A very good small sample problem solution is using permutation tests. But, there are various ways to conduct these.
#permutation #randomization #montecarlo #R #smallsample
https://mac-theobio.github.io/QMEE/lectures/permutation_examples.notes.html