'The Proximal ID Algorithm', by Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen.
http://jmlr.org/papers/v24/21-0950.html
#causal #unobserved #confounders
#causal #unobserved #confounders
'Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding', by Justin Grimmer, Dean Knox, Brandon Stewart.
http://jmlr.org/papers/v24/21-0515.html
#confounders #confounder #causally
#confounders #confounder #causally
1️⃣ #Panel data
In panel data, specific units of #observation are surveyed or observed multiple times over time. #examples Students in a class are asked for a weekly self-assessment or the GDP of EU countries is surveyed annually.
2️⃣ Advantages / Disadvantages
#Panel data allows us to analyze the influence of events on a #variable and control for time-constant #confounders. Problematic is the drop of observation units and the influence of past on future surveys.
#panel #observation #examples #variable #confounders
Now I’m in the process of deciding if my assumed #EffectModifiers are actually #Confounders and this is a whole new level of chaos!
#epidemiology
#effectmodifiers #confounders #epidemiology
What are the best resources for readings on #EffectModifiers vs #Confounders?
#effectmodifiers #confounders #epidemiology #publichealth