JMLR · @jmlr
711 followers · 310 posts · Server sigmoid.social

'The Proximal ID Algorithm', by Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen.

jmlr.org/papers/v24/21-0950.ht

#causal #unobserved #confounders

Last updated 2 years ago

JMLR · @jmlr
705 followers · 301 posts · Server sigmoid.social

'Naive regression requires weaker assumptions than factor models to adjust for multiple cause confounding', by Justin Grimmer, Dean Knox, Brandon Stewart.

jmlr.org/papers/v24/21-0515.ht

#confounders #confounder #causally

Last updated 2 years ago

CorrelAid · @correlaid
56 followers · 34 posts · Server masto.ai

1️⃣ data
In panel data, specific units of are surveyed or observed multiple times over time. Students in a class are asked for a weekly self-assessment or the GDP of EU countries is surveyed annually.

2️⃣ Advantages / Disadvantages
data allows us to analyze the influence of events on a and control for time-constant . Problematic is the drop of observation units and the influence of past on future surveys.

#panel #observation #examples #variable #confounders

Last updated 3 years ago

Now I’m in the process of deciding if my assumed are actually and this is a whole new level of chaos!

#effectmodifiers #confounders #epidemiology

Last updated 3 years ago

What are the best resources for readings on vs ?

#effectmodifiers #confounders #epidemiology #publichealth

Last updated 3 years ago

Col · @The_Colbobs
178 followers · 1752 posts · Server mstdn.social