InTDS ArchivebyDavid Baranger·May 27, 2020Interaction analyses — Appropriately adjusting for control variablesOn inflated false-positives in interaction analyses, and how to get rid of them.
David Baranger·Mar 23, 2020Researchers want you to tell them how the pandemic has affected your mental healthThese projects will help us understand how covid-19 is reshaping the world, and will help health providers address this new reality.
InThe StartupbyDavid Baranger·Nov 14, 2019A quick intro to block permutations and bootstraps for analyzing hierarchical data…ignoring that your data is clustered could cause you miss significant effects.
InThe StartupbyDavid Baranger·Oct 14, 2019Correlates of rock climbing abilityMy analysis of ‘what correlates with how well someone climbs?’.
David Baranger·Sep 20, 2019Interaction analyses — How large a sample do I need? (part 3)Determining what sample size is needed for an interaction.
David Baranger·Sep 20, 2019Interaction analyses — Interpreting effect sizes (part 2)Interpreting the effect-size of an interaction, by connecting it to simple-slopes.
David Baranger·Sep 20, 2019Interaction analyses — Power (part 1)How to do a power analysis for an interaction in a linear regression (in R), and what factors effect how much power you have.A response icon1A response icon1
InTDS ArchivebyDavid Baranger·Aug 23, 2019Using the new Turbo palette from Google in RHow to quickly get started using Turbo with your ggplots.A response icon1A response icon1
David Baranger·Jul 30, 2018The two-body problem: postdoc editionMy partner (soon to be wife!, Tayler) and I met while we were in the same PhD program. We are both interested in pursuing academic careers…
David Baranger·Apr 9, 2018Improving Genetic Prediction: Data cleaning & Meta-analysisImproving the last prediction
