This #YouTube channel is really the best spot to learn and meet our community! 👇
This #YouTube channel is really the best spot to learn and meet our community! 👇
Catch my talk about how my approach to #teaching this tool has changed throughout the years #ESMARConf2025 #youtube #synthesis
Starting at 05:00 AM EDT on:
www.youtube.com/@esmarconf
Catch my talk about how my approach to #teaching this tool has changed throughout the years #ESMARConf2025 #youtube #synthesis
Starting at 05:00 AM EDT on:
www.youtube.com/@esmarconf
But did you know there's a community that aims to make things easier and more accessible in R 😍
Join us at the free Evidence Synthesis & Meta-analysis in R Conference #ESMARConf2025
Abstracts due real soon: Monday April 21st!
#MetaAnalysis #Rstats
But did you know there's a community that aims to make things easier and more accessible in R 😍
Join us at the free Evidence Synthesis & Meta-analysis in R Conference #ESMARConf2025
Abstracts due real soon: Monday April 21st!
#MetaAnalysis #Rstats
a spurious relationship between the dependent (Y) & independent (X) variable can occur, when each effect a 3rd variable (C, #collider), and this 3rd is included in the linear model lm(Y~X+C) 🤔
#Rstats #CausalModelling #dataviz
a spurious relationship between the dependent (Y) & independent (X) variable can occur, when each effect a 3rd variable (C, #collider), and this 3rd is included in the linear model lm(Y~X+C) 🤔
#Rstats #CausalModelling #dataviz
#happyFriday!
#happyFriday!
here the #correlation remains approximately the same at -0.065 irrespective of noise 🦖, but will range from -1 to 1 with small samples
#rstats #dataviz #regression #statistics
here the #correlation remains approximately the same at -0.065 irrespective of noise 🦖, but will range from -1 to 1 with small samples
#rstats #dataviz #regression #statistics
even with a strong underlying correlation, sampling error will erode everything! 🧪 ‼️
#rstats simulation viz via the switchboard package for R
even with a strong underlying correlation, sampling error will erode everything! 🧪 ‼️
#rstats simulation viz via the switchboard package for R
🐿️=🦩🦤🦜🐓🦃
🐿️=🦩🦤🦜🐓🦃
There is tremendous risk in repeatedly analyzing data as it comes in…
For example, in the absence of any effect, the p-values of repeated t-tests on a growing dataset will randomly walk between 1 and 0!