Journal of Causal Inference

2013 - 2025

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

From De Gruyter
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Volume 6, issue 2, 2018

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

Volume 6, issue 1, 2018

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

Volume 5, issue 2, 2017

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.

Volume 5, issue 1, 2017

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

Volume 4, issue 2, 2016

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

Volume 4, issue 1, 2016

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

Volume 3, issue 2, 2015

Balancing Score Adjusted Targeted Minimum Loss-based Estimation pp. 139-155

Lendle Samuel David, Fireman Bruce and J. van der Laan Mark

Surrogate Endpoint Evaluation: Principal Stratification Criteria and the Prentice Definition pp. 157-175

Gilbert Peter B., Gabriel Erin E., Huang Ying and Chan Ivan S.F.

A Causal Perspective on OSIM2 Data Generation, with Implications for Simulation Study Design and Interpretation pp. 177-187

Gruber Susan

Parameter Identifiability of Discrete Bayesian Networks with Hidden Variables pp. 189-205

Allman Elizabeth S., Rhodes John A., Elena Stanghellini and Valtorta Marco

The Bayesian Causal Effect Estimation Algorithm pp. 207-236

Talbot Denis, Lefebvre Geneviève and Atherton Juli

Propensity Score Analysis with Survey Weighted Data pp. 237-249

Ridgeway Greg, Kovalchik Stephanie Ann, Griffin Beth Ann and Kabeto Mohammed U.

Reply to Professor Pearl’s Comment pp. 251-252

Ding Peng and Miratrix Luke W.

M-bias, Butterfly Bias, and Butterfly Bias with Correlated Causes – A Comment on Ding and Miratrix (2015) pp. 253-258

Thoemmes Felix

Generalizing Experimental Findings pp. 259-266

Pearl Judea

Volume 3, issue 1, 2015

Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate pp. 1-24

Matias Cattaneo, Frandsen Brigham R. and Titiunik Rocío

A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments pp. 25-40

Zhu Yeying, Coffman Donna L. and Ghosh Debashis

To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias pp. 41-57

Ding Peng and Miratrix Luke W.

Comment on Ding and Miratrix: “To Adjust or Not to Adjust?” pp. 59-60

Pearl Judea

Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule pp. 61-95

J. van der Laan Mark and Luedtke Alexander R.

On the Intersection Property of Conditional Independence and its Application to Causal Discovery pp. 97-108

Peters Jonas

Assumption Trade-Offs When Choosing Identification Strategies for Pre-Post Treatment Effect Estimation: An Illustration of a Community-Based Intervention in Madagascar pp. 109-130

Weber Ann M., J. van der Laan Mark and Petersen Maya L.

Conditioning on Post-treatment Variables pp. 131-137

Pearl Judea