31 citations · 93 across the 12 of their papers we have counts for
3 papers · 1 filter
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
Amanda Gentzel, Purva Pruthi, David Jensen
Methods that infer causal dependence from observational data are central to many areas of science, including medicine, economics, and the social sciences. A variety of theoretical…
Causal Inference using Gaussian Processes with Structured Latent Confounders
Sam Witty, Kenta Takatsu, David Jensen +1
Latent confounders---unobserved variables that influence both treatment and outcome---can bias estimates of causal effects. In some cases, these confounders are shared across obser…
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
Katherine A. Keith, David Jensen, Brendan O'Connor
Many applications of computational social science aim to infer causal conclusions from non-experimental data. Such observational data often contains confounders, variables that inf…