Regardless of COVID, it seems that causal inference methods are finally entering the mainsteam.

Use of #DAGs & awareness of #ColliderBias and the #Table2Fallacy are skyrocketting! Even a general medical journal (JAMA) has now produced primers on these issues

But we are still desparately short of advice and guidance on how best to use causal inference methods for applied research; we need more funding for meta-science and methods translation!

#EpiVerse

https://jamanetwork.com/journals/jama/fullarticle/2790247

RT @LajeunesseLab
#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

#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 #ecology

Wait - so, sampling designs to cope with gradients, etc (randomization, SRDs, GRITs, etc.) are basically ways for dealing with collider bias. Huh. #GraphTheory #StructuralCausalModels and #SamplingBias coming together. #ColliderBias

"When making decisions, an agent needs to condition on all the evidence it has observed"🤦‍♂️ #causaltwitter #causality #colliderbias #selectionbias