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Overlap in Observational Studies with High-Dimensional Covariates

Overlap in Observational Studies with High-Dimensional Covariates

7 November 2017
Alexander DÁmour
Peng Ding
Avi Feller
Lihua Lei
Jasjeet Sekhon
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Papers citing "Overlap in Observational Studies with High-Dimensional Covariates"

14 / 14 papers shown
Title
Causal mediation analysis with one or multiple mediators: a comparative study
Causal mediation analysis with one or multiple mediators: a comparative study
Judith Abécassis
Houssam Zenati
Sami Boumaïza
Julie Josse
Bertrand Thirion
CML
29
0
0
12 May 2025
Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems
Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems
Yang Xiang
Li Fan
Chenke Yin
Menglin Kong
Chengtao Ji
OffRL
61
0
0
22 Feb 2025
An AI-powered Bayesian generative modeling approach for causal inference in observational studies
Qiao Liu
W. Wong
CML
59
0
0
03 Jan 2025
Heavy Tail Robust Estimation and Inference for Average Treatment Effects
Heavy Tail Robust Estimation and Inference for Average Treatment Effects
Jonathan B. Hill
Saraswata Chaudhuri
108
17
0
11 Dec 2024
Causal Inference with Large Language Model: A Survey
Causal Inference with Large Language Model: A Survey
Jing Ma
CML
LRM
176
8
0
15 Sep 2024
Compositional Models for Estimating Causal Effects
Compositional Models for Estimating Causal Effects
Purva Pruthi
David D. Jensen
CML
118
0
0
25 Jun 2024
Machine Learning Methods Economists Should Know About
Machine Learning Methods Economists Should Know About
Susan Athey
Guido Imbens
66
675
0
24 Mar 2019
Robust Inference Using Inverse Probability Weighting
Robust Inference Using Inverse Probability Weighting
Xinwei Ma
Jingshen Wang
34
94
0
26 Oct 2018
Instrumental variables as bias amplifiers with general outcome and
  confounding
Instrumental variables as bias amplifiers with general outcome and confounding
Peng Ding
T. VanderWeele
Jamie Robins
CML
31
67
0
16 Jan 2017
Approximate Residual Balancing: De-Biased Inference of Average Treatment
  Effects in High Dimensions
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions
Susan Athey
Guido Imbens
Stefan Wager
CML
196
387
0
25 Apr 2016
Robust Inference on Average Treatment Effects with Possibly More
  Covariates than Observations
Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations
M. Farrell
99
343
0
18 Sep 2013
Supplementary Appendix for "Inference on Treatment Effects After
  Selection Amongst High-Dimensional Controls"
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
A. Belloni
Victor Chernozhukov
Christian B. Hansen
180
1,401
0
27 May 2013
On a Class of Bias-Amplifying Variables that Endanger Effect Estimates
On a Class of Bias-Amplifying Variables that Endanger Effect Estimates
Judea Pearl
CML
46
179
0
15 Mar 2012
Semiparametric efficiency in GMM models with auxiliary data
Semiparametric efficiency in GMM models with auxiliary data
Xiaohong Chen
H. Hong
Alessandro Tarozzi
331
234
0
01 May 2007
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