David BarangerinTowards Data ScienceInteraction analyses — Appropriately adjusting for control variablesOn inflated false-positives in interaction analyses, and how to get rid of them.4 min read·May 27, 2020----
David BarangerResearchers 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.3 min read·Mar 23, 2020----
David BarangerinThe StartupA quick intro to block permutations and bootstraps for analyzing hierarchical data…ignoring that your data is clustered could cause you miss significant effects.11 min read·Nov 14, 2019----
David BarangerinThe StartupCorrelates of rock climbing abilityMy analysis of ‘what correlates with how well someone climbs?’.11 min read·Oct 14, 2019----
David BarangerInteraction analyses — How large a sample do I need? (part 3)Determining what sample size is needed for an interaction.4 min read·Sep 20, 2019----
David BarangerInteraction analyses — Interpreting effect sizes (part 2)Interpreting the effect-size of an interaction, by connecting it to simple-slopes.5 min read·Sep 20, 2019----
David BarangerInteraction 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.7 min read·Sep 20, 2019--1--1
David BarangerinTowards Data ScienceUsing the new Turbo palette from Google in RHow to quickly get started using Turbo with your ggplots.4 min read·Aug 23, 2019--1--1
David BarangerThe 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…4 min read·Jul 30, 2018----
David BarangerImproving Genetic Prediction: Data cleaning & Meta-analysisImproving the last prediction8 min read·Apr 9, 2018----