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Journal of Causal Inference

2013 - 2025

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

From De Gruyter
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Volume 13, issue 1, 2025

Bounds on the fixed effects estimand in the presence of heterogeneous assignment propensities pp. 7 Downloads
Humphreys Macartan
Role of placebo samples in observational studies pp. 12 Downloads
Ye Ting, He Qijia, Chen Shuxiao and Zhang Bo
Highly adaptive Lasso for estimation of heterogeneous treatment effects and treatment recommendation pp. 13 Downloads
Nizam Sohail, Codi Allison, Rogawski McQuade Elizabeth and Benkeser David
Valid causal inference with unobserved confounding in high-dimensional settings pp. 15 Downloads
Moosavi Niloofar, Gorbach Tetiana and Xavier de Luna
Matching estimators of causal effects in clustered observational studies pp. 16 Downloads
Cui Can, Zhang Yunshu, Yang Shu, Reich Brian J. and Gill David A.
Conservative inference for counterfactuals pp. 17 Downloads
Balakrishnan Sivaraman, Kennedy Edward and Wasserman Larry
Single proxy synthetic control pp. 22 Downloads
Park Chan and Tchetgen Tchetgen Eric J.
Optimal precision of coarse structural nested mean models to estimate the effect of initiating ART in early and acute HIV infection pp. 23 Downloads
Lok Judith J.
Combining observational and experimental data for causal inference considering data privacy pp. 23 Downloads
Mann Charlotte Z., Sales Adam C. and Gagnon-Bartsch Johann A.
Mediated probabilities of causation pp. 24 Downloads
Rubinstein Max, Cuellar Maria and Malinsky Daniel
The necessity of construct and external validity for deductive causal inference pp. 25 Downloads
Esterling Kevin M., Brady David and Schwitzgebel Eric
Ancestor regression in structural vector autoregressive models pp. 25 Downloads
Schultheiss Christoph, Ulmer Markus and Bühlmann Peter
Recovery and inference of causal effects with sequential adjustment for confounding and attrition pp. 29 Downloads
Johan de Aguas, Pensar Johan, Varnet Pérez Tomás and Biele Guido
Beyond conditional averages: Estimating the individual causal effect distribution pp. 29 Downloads
Post Richard A. J. and R. van den Heuvel Edwin
Targeting mediating mechanisms of social disparities with an interventional effects framework, applied to the gender pay gap in Western Germany pp. 30 Downloads
Didden Christiane
Treatment effect estimation with observational network data using machine learning pp. 36 Downloads
Emmenegger Corinne, Spohn Meta-Lina, Elmer Timon and Bühlmann Peter
A clarification on the links between potential outcomes and do-interventions pp. 36 Downloads
Lucas De Lara
Targeted maximum likelihood based estimation for longitudinal mediation analysis pp. 39 Downloads
Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa and Laan Mark van der
Minimax rates and adaptivity in combining experimental and observational data pp. 40 Downloads
Chen Shuxiao, Li Sai, Zhang Bo and Ye Ting
Causal structure learning in directed, possibly cyclic, graphical models pp. 41 Downloads
Semnani Pardis and Robeva Elina
Decision making, symmetry and structure: Justifying causal interventions pp. 47 Downloads
Johnston David O., Ong Cheng Soon and Williamson Robert C.

Volume 12, issue 1, 2024

Comparison of open-source software for producing directed acyclic graphs pp. 10 Downloads
Pitts Amy J. and Fowler Charlotte R.
Sharp bounds for causal effects based on Ding and VanderWeele's sensitivity parameters pp. 10 Downloads
Sjölander Arvid
Potential outcomes and decision-theoretic foundations for statistical causality: Response to Richardson and Robins pp. 11 Downloads
Dawid Philip
From urn models to box models: Making Neyman's (1923) insights accessible pp. 12 Downloads
Lin Winston, Dudoit Sandrine, Nolan Deborah and Speed Terence P.
Prospective and retrospective causal inferences based on the potential outcome framework pp. 15 Downloads
Geng Zhi, Zhang Chao, Wang Xueli, Liu Chunchen and Wei Shaojie
Estimation of network treatment effects with non-ignorable missing confounders pp. 16 Downloads
Sun Zhaohan, Zhu Yeying and Dubin Joel A.
Direct, indirect, and interaction effects based on principal stratification with a binary mediator pp. 16 Downloads
Myoung-jae Lee
Optimal allocation of sample size for randomization-based inference from 2K factorial designs pp. 18 Downloads
Ravichandran Arun, Pashley Nicole E., Libgober Brian and Dasgupta Tirthankar
Design-based RCT estimators and central limit theorems for baseline subgroup and related analyses pp. 18 Downloads
Schochet Peter Z.
Mediation analyses for the effect of antibodies in vaccination pp. 19 Downloads
Fay Michael P. and Follmann Dean A.
Causal inference with textual data: A quasi-experimental design assessing the association between author metadata and acceptance among ICLR submissions from 2017 to 2022 pp. 20 Downloads
Chen Chang, Zhang Jiayao, Ye Ting, Roth Dan and Zhang Bo
Quantifying the quality of configurational causal models pp. 20 Downloads
Baumgartner Michael and Falk Christoph
Neyman meets causal machine learning: Experimental evaluation of individualized treatment rules pp. 20 Downloads
Li Michael Lingzhi and Imai Kosuke
Detecting treatment interference under K-nearest-neighbors interference pp. 20 Downloads
Alzubaidi Samirah H. and Higgins Michael J.
Regression(s) discontinuity: Using bootstrap aggregation to yield estimates of RD treatment effects pp. 21 Downloads
Mark Long and Rooklyn Jordan
Current philosophical perspectives on drug approval in the real world pp. 21 Downloads
Landes Jürgen and Auker-Howlett Daniel J.
Energy balancing of covariate distributions pp. 22 Downloads
Huling Jared D. and Mak Simon
Conditional generative adversarial networks for individualized causal mediation analysis pp. 23 Downloads
Huan Cheng, Sun Rongqian and Song Xinyuan
Improved sensitivity bounds for mediation under unmeasured mediator–outcome confounding pp. 24 Downloads
Sjölander Arvid and Waernbaum Ingeborg
Evaluating Boolean relationships in Configurational Comparative Methods pp. 25 Downloads
Luna De Souter
Doubly weighted M-estimation for nonrandom assignment and missing outcomes pp. 25 Downloads
Negi Akanksha
An optimal transport approach to estimating causal effects via nonlinear difference-in-differences pp. 26 Downloads
Torous William, Gunsilius Florian and Rigollet Philippe
Double machine learning and design in batch adaptive experiments pp. 27 Downloads
Li Harrison H. and Owen Art B.
A phenomenological account for causality in terms of elementary actions pp. 28 Downloads
Janzing Dominik and Mejia Sergio Hernan Garrido
An approach to nonparametric inference on the causal dose–response function pp. 28 Downloads
Hudson Aaron, Geng Elvin H., Odeny Thomas A., Bukusi Elizabeth A., Petersen Maya L. and J. van der Laan Mark
Some theoretical foundations for the design and analysis of randomized experiments pp. 30 Downloads
Shi Lei and Li Xinran
The functional average treatment effect pp. 30 Downloads
Sparkes Shane, Garcia Erika and Zhang Lu
Foundations of causal discovery on groups of variables pp. 32 Downloads
Wahl Jonas, Ninad Urmi and Runge Jakob
Bias formulas for violations of proximal identification assumptions in a linear structural equation model pp. 34 Downloads
Cobzaru Raluca, Welsch Roy, Finkelstein Stan, Ng Kenney and Shahn Zach
Nonparametric estimation of conditional incremental effects pp. 42 Downloads
McClean Alec, Branson Zach and Kennedy Edward H.
Interactive identification of individuals with positive treatment effect while controlling false discoveries pp. 43 Downloads
Duan Boyan, Wasserman Larry and Ramdas Aaditya
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