Graphical Criteria for Efficient Total Effect Estimation via Adjustment
in Causal Linear Models

Graphical Criteria for Efficient Total Effect Estimation via Adjustment in Causal Linear Models

4 July 2019

Leonard Henckel

Emilija Perković

Marloes H. Maathuis

Papers citing "Graphical Criteria for Efficient Total Effect Estimation via Adjustment in Causal Linear Models"

19 / 19 papers shown

Title
Your Assumed DAG is Wrong and Here's How To Deal With It Kirtan Padh Zhufeng Li Cecilia Casolo Niki Kilbertus CML 84 0 0 24 Feb 2025
Practically Effective Adjustment Variable Selection in Causal Inference Atsushi Noda Takashi Isozaki 104 0 0 04 Feb 2025
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Zheng Li Feng Xie Xichen Guo Yan Zeng Hao Zhang Zhi Geng CML 166 0 0 25 Nov 2024
Efficient adjustment sets in causal graphical models with hidden variables Ezequiel Smucler F. Sapienza A. Rotnitzky CML OffRL 55 32 0 22 Apr 2020
On efficient adjustment in causal graphs Jan-Jelle Witte Leonard Henckel Marloes H. Maathuis Vanessa Didelez CML 57 69 0 17 Feb 2020
Interpreting and using CPDAGs with background knowledge Emilija Perković M. Kalisch Marloes H. Maathuis 43 52 0 07 Jul 2017
Instrumental variables as bias amplifiers with general outcome and confounding Peng Ding T. VanderWeele Jamie Robins CML 53 67 0 16 Jan 2017
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs Emilija Perković J. Textor M. Kalisch Marloes H. Maathuis OffRL 59 144 0 22 Jun 2016
A Complete Generalized Adjustment Criterion Emilija Perković J. Textor M. Kalisch Marloes H. Maathuis OffRL CML 43 72 0 06 Jul 2015
Cyclic Causal Discovery from Continuous Equilibrium Data Joris Mooij Tom Heskes 62 82 0 26 Sep 2013
Causal Networks: Semantics and Expressiveness Thomas Verma Judea Pearl GNN 87 551 0 27 Mar 2013
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 263 634 0 20 Feb 2013
Learning Equivalence Classes of Bayesian Networks Structures D. M. Chickering 99 832 0 13 Feb 2013
Order-independent constraint-based causal structure learning Diego Colombo Marloes H. Maathuis CML 118 605 0 14 Nov 2012
Selection of Identifiability Criteria for Total Effects by using Path Diagrams Manabu Kuroki Zhihong Cai CML 81 38 0 11 Jul 2012
Causal discovery of linear acyclic models with arbitrary distributions P. Hoyer Aapo Hyvarinen R. Scheines Peter Spirtes Joseph Ramsey Gustavo Lacerda Shohei Shimizu CML 92 80 0 13 Jun 2012
On a Class of Bias-Amplifying Variables that Endanger Effect Estimates Judea Pearl CML 74 179 0 15 Mar 2012
On the Validity of Covariate Adjustment for Estimating Causal Effects I. Shpitser T. VanderWeele J. M. Robins CML 92 203 0 15 Mar 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 90 425 0 14 Apr 2011