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.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 10, issue 1, 2022

Simple yet sharp sensitivity analysis for unmeasured confounding pp. 1-17

Peña Jose M.

Decomposition of the total effect for two mediators: A natural mediated interaction effect framework pp. 18-44

Gao Xin, Li Li and Luo Li

Causal inference with imperfect instrumental variables pp. 45-63

Miklin Nikolai, Gachechiladze Mariami, Moreno George and Chaves Rafael

A unifying causal framework for analyzing dataset shift-stable learning algorithms pp. 64-89

Subbaswamy Adarsh, Chen Bryant and Saria Suchi

The variance of causal effect estimators for binary v-structures pp. 90-105

Kuipers Jack and Moffa Giusi

Treatment effect optimisation in dynamic environments pp. 106-122

Berrevoets Jeroen, Verboven Sam and Verbeke Wouter

Optimal weighting for estimating generalized average treatment effects pp. 123-140

Kallus Nathan and Santacatterina Michele

Causal inference in AI education: A primer pp. 141-173

Forney Andrew and Mueller Scott

A note on efficient minimum cost adjustment sets in causal graphical models pp. 174-189

Smucler Ezequiel and Andrea Rotnitzky

Comment on: “Decision-theoretic foundations for statistical causality” pp. 190-196

Shpitser Ilya

Estimating marginal treatment effects under unobserved group heterogeneity pp. 197-216

Hoshino Tadao and Takahide Yanagi

Decision-theoretic foundations for statistical causality: Response to Shpitser pp. 217-220

Dawid Philip

Causation and decision: On Dawid’s “Decision theoretic foundation of statistical causality” pp. 221-226

Pearl Judea

Properties of restricted randomization with implications for experimental design pp. 227-245

Nordin Mattias and Schultzberg Mårten

Clarifying causal mediation analysis: Effect identification via three assumptions and five potential outcomes pp. 246-279

Nguyen Trang Quynh, Schmid Ian, Ogburn Elizabeth L. and Stuart Elizabeth A.

Identifying HIV sequences that escape antibody neutralization using random forests and collaborative targeted learning pp. 280-295

Jin Yutong and Benkeser David

Decision-theoretic foundations for statistical causality: Response to Pearl pp. 296-299

Dawid Philip

Estimating complier average causal effects for clustered RCTs when the treatment affects the service population pp. 300-334

Schochet Peter Z.

A generalized double robust Bayesian model averaging approach to causal effect estimation with application to the study of osteoporotic fractures pp. 335-371

Talbot Denis and Beaudoin Claudia

Causal effect on a target population: A sensitivity analysis to handle missing covariates pp. 372-414

Colnet Bénédicte, Josse Julie, Varoquaux Gaël and Scornet Erwan

Doubly robust estimators for generalizing treatment effects on survival outcomes from randomized controlled trials to a target population pp. 415-440

Lee Dasom, Yang Shu and Wang Xiaofei

Sensitivity analysis for causal effects with generalized linear models pp. 441-479

Sjölander Arvid, Gabriel Erin E. and Ciocănea-Teodorescu Iuliana

Individualized treatment rules under stochastic treatment cost constraints pp. 480-493

Qiu Hongxiang, Carone Marco and Luedtke Alex

A Lasso approach to covariate selection and average treatment effect estimation for clustered RCTs using design-based methods pp. 494-514

Schochet Peter Z.

Bias attenuation results for dichotomization of a continuous confounder pp. 515-526

Gabriel Erin E., Peña Jose M. and Sjölander Arvid

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.