Journal of Causal Inference
2013 - 2025
Current editor(s): Elias Bareinboim, Jin Tian and Iván Díaz From De Gruyter Bibliographic data for series maintained by Peter Golla (). Access Statistics for this journal.
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Volume 9, issue 1, 2021
- Two seemingly paradoxical results in linear models: the variance inflation factor and the analysis of covariance pp. 1-8

- Ding Peng
- Identification of causal intervention effects under contagion pp. 9-38

- Cai Xiaoxuan, Loh Wen Wei and Crawford Forrest W.
- Decision-theoretic foundations for statistical causality pp. 39-77

- Dawid Philip
- Radical empiricism and machine learning research pp. 78-82

- Pearl Judea
- A fundamental measure of treatment effect heterogeneity pp. 83-108

- Levy Jonathan, Mark van der Laan, Hubbard Alan and Pirracchio Romain
- Estimating the effect of central bank independence on inflation using longitudinal targeted maximum likelihood estimation pp. 109-146

- Baumann Philipp F. M., Schomaker Michael and Enzo Rossi
- Designing experiments informed by observational studies pp. 147-171

- Rosenman Evan T. R. and Owen Art B.
- Nonparametric inference for interventional effects with multiple mediators pp. 172-189

- Benkeser David and Ran Jialu
- Novel bounds for causal effects based on sensitivity parameters on the risk difference scale pp. 190-210

- Sjölander Arvid and Hössjer Ola
- Estimating causal effects with the neural autoregressive density estimator pp. 211-228

- Garrido Sergio, Borysov Stanislav, Rich Jeppe and Pereira Francisco
- On the bias of adjusting for a non-differentially mismeasured discrete confounder pp. 229-249

- Peña Jose M., Balgi Sourabh, Sjölander Arvid and Gabriel Erin E.
- Learning linear non-Gaussian graphical models with multidirected edges pp. 250-263

- Liu Yiheng, Robeva Elina and Wang Huanqing
- Conditional as-if analyses in randomized experiments pp. 264-284

- Pashley Nicole E., Basse Guillaume W. and Miratrix Luke W.
- Causal versions of maximum entropy and principle of insufficient reason pp. 285-301

- Janzing Dominik
- Incremental intervention effects in studies with dropout and many timepoints# pp. 302-344

- Kim Kwangho, Kennedy Edward H. and Naimi Ashley I.
- Optimal balancing of time-dependent confounders for marginal structural models pp. 345-369

- Kallus Nathan and Santacatterina Michele
Volume 8, issue 1, 2020
- Unifying Gaussian LWF and AMP Chain Graphs to Model Interference pp. 1-21

- Peña Jose M.
- Unifying Gaussian LWF and AMP Chain Graphs to Model Interference pp. 1-21

- Peña Jose M.
- A Combinatorial Solution to Causal Compatibility pp. 22-53

- Fraser Thomas C.
- A Combinatorial Solution to Causal Compatibility pp. 22-53

- Fraser Thomas C.
- Post-randomization Biomarker Effect Modification Analysis in an HIV Vaccine Clinical Trial pp. 54-69

- Gilbert Peter B., Blette Bryan S., Shepherd Bryan E. and Hudgens Michael G.
- Post-randomization Biomarker Effect Modification Analysis in an HIV Vaccine Clinical Trial pp. 54-69

- Gilbert Peter B., Blette Bryan S., Hudgens Michael G. and Shepherd Bryan E.
- The Inflation Technique Completely Solves the Causal Compatibility Problem pp. 70-91

- Navascués Miguel and Wolfe Elie
- The Inflation Technique Completely Solves the Causal Compatibility Problem pp. 70-91

- Navascués Miguel and Wolfe Elie
- Averaging causal estimators in high dimensions pp. 92-107

- Antonelli Joseph and Cefalu Matthew
- Estimating population average treatment effects from experiments with noncompliance pp. 108-130

- Ottoboni Kellie N. and Poulos Jason V.
- A Two-Stage Joint Modeling Method for Causal Mediation Analysis in the Presence of Treatment Noncompliance pp. 131-149

- Park Soojin and Kürüm Esra
- On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder pp. 150-163

- Peña Jose M.
- Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs pp. 164-181

- Crespo Cristian
- Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness pp. 182-208

- Nick Huntington-Klein
- When is a Match Sufficient? A Score-based Balance Metric for the Synthetic Control Method pp. 209-228

- Parast Layla, Hunt Priscillia, Griffin Beth Ann and David Powell
- A note on a sensitivity analysis for unmeasured confounding, and the related E-value pp. 229-248

- Sjölander Arvid
- Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness pp. 249-271

- Corder Nathan and Yang Shu
- Identification and Estimation of Intensive Margin Effects by Difference-in-Difference Methods pp. 272-285

- Markus Hersche and Elias Moor
- Direct Effects under Differential Misclassification in Outcomes, Exposures, and Mediators pp. 286-299

- Li Yige and VanderWeele Tyler J.
- Improved Doubly Robust Estimation in Marginal Mean Models for Dynamic Regimes pp. 300-314

- Sun Hao, Ertefaie Ashkan, Lu Xin and Johnson Brent A.
Volume 7, issue 2, 2019
- 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
Volume 7, issue 1, 2019
- 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.
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