Query for causation folk: correlations due to a common cause C are screened off by conditioning on C. So there’s a selection artefact due to doing this inadvertently – i.e., missing the correlation, by selecting subjects who share a value of C. Does this have a name? Are there good real examples?
October 23, 2025 at 10:24 PM
#correlation without #causation via #ColliderBias
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
March 2, 2025 at 12:49 PM
#correlation without #causation via #ColliderBias
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