If I collect some data for a new treatment, but don't collect a control group, can I use the data from an older study that has the control condition? If so, how would I integrate this into my analysis? and what is the name for this? historical control?
If I were to say that the primary benefit of randomization (and possibly blinding) is that it makes simple statistical models match the true data generating process quite well, would that be a provocative statement? Or would that be obvious? Is there a good reference for this line of reasoning?
#r and #statstodon people: do you have any resources for running sensitivity power analyses for mixed effects models? (e.g. for fixed samples to determine what is the smallest reliable detectable effect at a specific power level)
Great guide to thinking about the age-period-cohort problem by Julia Rohrer: https://osf.io/preprints/psyarxiv/8zmuv
🚨 New Substack Post - A secret third way: Likelihoodist statistics
I provide a quick tutorial on conducting research using the Likelihoodist approach. It's step-by-step + #R code
#substack #statistics #education #guide #science #research #statstodon #stats #tutorial
#statstab #42 Bayes Factors in #brms
Thoughts: Bayes Factors are just the ratio of the height difference of two points on two lines, don't @ me! (seriously, that's how most packages commute it)
#rstats #jasp #bayesian #bayesfactors #SavageDickey #ResearchMethods #psychology #statstodon
https://mvuorre.github.io/posts/2017-03-21-bayes-factors-with-brms/
#statstab #39 Permutation test for "sharp" vs "weak" null hyp
Thoughts: Perm/Rand tests have a different (often inappropriate) Null Hypothesis. The similarity in estimates to asymptomatic tests is misleading wrt their inference.
#permutation #nhst #statistics #statstodon #experiments
https://stats.stackexchange.com/questions/315891/permutation-tests-for-sharp-vs-weak-null-hypothesis