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Journal of Causal Inference2013 - 2025
 Current editor(s): Elias Bareinboim, Jin Tian and Iván Díaz From De GruyterBibliographic data for series maintained by Peter Golla ().
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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 JudeaBayesian Inference of Causal Effects for an Ordinal Outcome in Randomized Trials   pp. 12 Chiba YasutakaCovariate Balancing Inverse Probability Weights for Time-Varying Continuous Interventions   pp. 17 Huffman Curtis and Edwin van GamerenA Kernel-Based Metric for Balance Assessment   pp. 19 Zhu Yeying, Savage Jennifer S. and Ghosh DebashisPropensity Score Weighting for Causal Inference with Clustered Data   pp. 19 Yang ShuSynthetic Control Method: Inference, Sensitivity Analysis and Confidence Sets   pp. 26 Sergio Firpo and Vitor PossebomInvariant 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 JudeaVariable 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 MathiasDetecting 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 andBridging 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 JudeaOn Partial Identification of the Natural Indirect Effect   pp. 12 Miles Caleb, Kanki Phyllis, Meloni Seema and Tchetgen Tchetgen EricCounterfactual-Based Prevented and Preventable Proportions   pp. 15 Yamada Kentaro and Kuroki ManabuA 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 MessanLongitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes   pp. 24 Zheng Wenjing and Mark van der LaanCausal 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 TylerA Linear “Microscope” for Interventions and Counterfactuals   pp. 15 Pearl JudeaEntropy Balancing is Doubly Robust   pp. 19 Zhao Qingyuan and Percival DanielDesign and Analysis of Experiments in Networks: Reducing Bias from Interference   pp. 23 Dean Eckles, Karrer Brian and Ugander JohanSemi-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 MarkIdentification 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 JudeaGeneralized 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 MarshallA Causal Inference Approach to Network Meta-Analysis   pp. 19 Schnitzer Mireille E, Steele Russell J, Bally Michèle and Shrier IanThe 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 GuillaumeMarkov Boundary Discovery with Ridge Regularized Linear Models   pp. 31-48 Strobl Eric V. and Visweswaran ShyamPredicting 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 PradiptaThe 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 MarkSurrogate 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 SusanParameter Identifiability of Discrete Bayesian Networks with Hidden Variables   pp. 189-205 Allman Elizabeth S., Rhodes John A., Elena Stanghellini and Valtorta MarcoThe Bayesian Causal Effect Estimation Algorithm   pp. 207-236 Talbot Denis, Lefebvre Geneviève and Atherton JuliPropensity 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 FelixGeneralizing 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 RocíoA Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments   pp. 25-40 Zhu Yeying, Coffman Donna L. and Ghosh DebashisTo 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 JudeaTargeted 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 JonasAssumption 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 |  |