Journal of Causal Inference

2013 - 2025

Current editor(s): Elias Bareinboim, Jin Tian and Iván Díaz

From De Gruyter
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Sufficient Causes: On Oxygen, Matches, and Fires pp. 8: Pearl Judea
Technical Considerations in the Use of the E-Value pp. 11: VanderWeele Tyler J., Ding Peng and Mathur Maya
A Gaussian Process Framework for Overlap and Causal Effect Estimation with High-Dimensional Covariates pp. 13: Ghosh Debashis and Cruz Cortés Efrén
Regression Adjustments for Estimating the Global Treatment Effect in Experiments with Interference pp. 36: Chin Alex
The Inflation Technique for Causal Inference with Latent Variables pp. 51: Wolfe Elie, Spekkens Robert W. and Fritz Tobias
The Inflation Technique for Causal Inference with Latent Variables pp. 51: Wolfe Elie, Spekkens Robert W. and Fritz Tobias

A Falsifiability Characterization of Double Robustness Through Logical Operators pp. 4: Frangakis Constantine
On the Interpretation of do(x)do(x) pp. 6: Pearl Judea
Estimating Causal Effects of New Treatments Despite Self-Selection: The Case of Experimental Medical Treatments pp. 8: Hazlett Chad
Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction pp. 14: Luo Wei, Wu Wenbo and Zhu Yeying
Estimating Mann–Whitney-Type Causal Effects for Right-Censored Survival Outcomes pp. 15: Zhang Zhiwei, Liu Chunling, Ma Shujie and Zhang Min
The Entry of Randomized Assignment into the Social Sciences pp. 16: Jamison Julian C.
New Traffic Conflict Measure Based on a Potential Outcome Model pp. 19: Yamada Kentaro and Kuroki Manabu
Approximate Kernel-Based Conditional Independence Tests for Fast Non-Parametric Causal Discovery pp. 24: Strobl Eric V., Zhang Kun and Visweswaran Shyam
Randomization Tests that Condition on Non-Categorical Covariate Balance pp. 29: Branson Zach and Miratrix Luke W.

Does Obesity Shorten Life? Or is it the Soda? On Non-manipulable Causes pp. 7: Pearl Judea
Bayesian Inference of Causal Effects for an Ordinal Outcome in Randomized Trials pp. 12: Chiba Yasutaka
Covariate Balancing Inverse Probability Weights for Time-Varying Continuous Interventions pp. 17: Huffman Curtis and Edwin van Gameren
A Kernel-Based Metric for Balance Assessment pp. 19: Zhu Yeying, Savage Jennifer S. and Ghosh Debashis
Propensity Score Weighting for Causal Inference with Clustered Data pp. 19: Yang Shu
Synthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets pp. 26: Sergio Firpo and Vitor Possebom
Invariant Causal Prediction for Nonlinear Models pp. 35: Heinze-Deml Christina, Peters Jonas and Meinshausen Nicolai

What is Gained from Past Learning pp. 9: Pearl Judea
Variable Selection in Causal Inference using a Simultaneous Penalization Method pp. 16: Ertefaie Ashkan, Asgharian Masoud and Stephens David A.
Determinantal Generalizations of Instrumental Variables pp. 21: Weihs Luca, Robinson Bill, Dufresne Emilie, Kenkel Jennifer, Kubjas Reginald McGee II Kaie, Reginald McGee, Nguyen Nhan, Robeva Elina and Drton Mathias
Detecting Confounding in Multivariate Linear Models via Spectral Analysis pp. 27: Janzing Dominik and Schölkopf Bernhard

Erratum to: A Conditional Randomization Test for Covariate Imbalance pp. 2: Hennessy Jonathan, Dasgupta Tirthankar, Miratrix Luke, Pattanayak Cassandra and Pradipta Sarkar and
Bridging Finite and Super Population Causal Inference pp. 8: Ding Peng, Li Xinran and Miratrix Luke W.
Physical and Metaphysical Counterfactuals: Evaluating Disjunctive Actions pp. 10: Pearl Judea
On Partial Identification of the Natural Indirect Effect pp. 12: Miles Caleb, Kanki Phyllis, Meloni Seema and Tchetgen Tchetgen Eric
Counterfactual-Based Prevented and Preventable Proportions pp. 15: Yamada Kentaro and Kuroki Manabu
A Simple Model Allowing Modification of the Effect of a Randomized Intervention by Post-Randomization Variables pp. 16: Faerber Jennifer A., Joffe Marshall M., Small Dylan S., Zhang Rongmei, Brown Gregory K. and Ten Have Thomas R.
Chasing Balance and Other Recommendations for Improving Nonparametric Propensity Score Models pp. 18: Griffin Beth Ann, McCaffrey Daniel F., Almirall Daniel, Burgette Lane F. and Setodji Claude Messan
Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes pp. 24: Zheng Wenjing and Mark van der Laan
Causal Inference via Algebraic Geometry: Feasibility Tests for Functional Causal Structures with Two Binary Observed Variables pp. 26: Lee Ciarán M. and Spekkens Robert W.

Interventional Approach for Path-Specific Effects pp. 10: Lin Sheng-Hsuan and VanderWeele Tyler
A Linear “Microscope” for Interventions and Counterfactuals pp. 15: Pearl Judea
Entropy Balancing is Doubly Robust pp. 19: Zhao Qingyuan and Percival Daniel
Design and Analysis of Experiments in Networks: Reducing Bias from Interference pp. 23: Dean Eckles, Karrer Brian and Ugander Johan
Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected Population pp. 35: Sofrygin Oleg and J. van der Laan Mark
Identification of the Joint Effect of a Dynamic Treatment Intervention and a Stochastic Monitoring Intervention Under the No Direct Effect Assumption pp. 44: Neugebauer Romain, Schmittdiel Julie A., Adams Alyce S., Grant Richard W. and J. van der Laan Mark

Data-Adaptive Causal Effects and Superefficiency pp. 4: Aronow Peter M.
Lord’s Paradox Revisited – (Oh Lord! Kumbaya!) pp. 13: Pearl Judea
Generalized Structural Mean Models for Evaluating Depression as a Post-treatment Effect Modifier of a Jobs Training Intervention pp. 17: Stephens Alisa, Keele Luke and Joffe Marshall
A Causal Inference Approach to Network Meta-Analysis pp. 19: Schnitzer Mireille E, Steele Russell J, Bally Michèle and Shrier Ian
The Mechanics of Omitted Variable Bias: Bias Amplification and Cancellation of Offsetting Biases pp. 22: Steiner Peter M. and Kim Yongnam

Predicting Is Not Explaining: Targeted Learning of the Dative Alternation pp. 1-30: Chambaz Antoine and Desagulier Guillaume
Markov Boundary Discovery with Ridge Regularized Linear Models pp. 31-48: Strobl Eric V. and Visweswaran Shyam
Predicting the Direction of Causal Effect Based on an Instrumental Variable Analysis: A Cautionary Tale pp. 49-59: Burgess Stephen and Small Dylan S.
A Conditional Randomization Test to Account for Covariate Imbalance in Randomized Experiments pp. 61-80: Hennessy Jonathan, Dasgupta Tirthankar, Miratrix Luke, Pattanayak Cassandra and Sarkar Pradipta
The Sure-Thing Principle pp. 81-86: Pearl Judea