#statstab #531 Effect Size Calculator [Campbell]

Thoughts: A nice place for quick formulas for variance and effect sizes of various designs and data types.

#metaanalysis #effectsize #CohenD #calculator #Variance #Eta #effects

https://www.campbellcollaboration.org/calculator/equations

#statstab #531 Using Extant Data to Improve Estimation of the Standardized Mean Difference

Thoughts: I wonder if it's a good idea. Any edu/clinical people to chime in? Seems like using historic data.

#smd #estimation #effectsize #variance #extantdata

https://journals.sagepub.com/doi/10.3102/10769986241238478

#statstab #506 The VIF Score. What is it Good For? Absolutely Nothing

Thoughts: Maybe we need to think more closely about what these metrics mean.

#diagnostics #assumptions #regression #vif #variance #variableselection #error #multicolinearity

https://journals.sagepub.com/doi/abs/10.1177/10944281231216381

#statstab #505 Beyond Confounders

Thoughts: What makes a good control and a bad control?

#counterfactuals #confounder #DAG #r #modelling #selectionbias #variance #control #causalinference

https://matheusfacure.github.io/python-causality-handbook/07-Beyond-Confounders.html

#statstab #490 Effect size for difference between variances / Levene's test

Thoughts: Always found it odd that we ignore heterogeneity for inference. We treat it like a "error".

#heterogeneity #welch #levene #variance #cvr #standarddeviation

https://stats.stackexchange.com/questions/173880/effect-size-for-difference-between-variances-levenes-test

#statstab #489 On the performance of the Neyman Allocation with small pilots

Thoughts: If you know your treatment condition will have larger variance you can optimise your sample size.

#nhst #samplesize #neynan #heterogeneity #welch #variance #pilot #se

https://www.sciencedirect.com/science/article/pii/S0304407624001398

Chaos Edge: Spark Innovation - Reed Hastings and Patrick

#creativity #variance #chaos