期刊名称：JOURNAL OF CAUSAL INFERENCE
 期刊简介(About the journal)
投稿须知(Instructions to Authors)
编辑部信息(Editorial Board)
About the journal
Objective
Journal of Causal Inference (JCI) is a fully peer-reviewed, open access, electronic-only journal. The journal provides the readers with free, instant, and permanent access to all content worldwide; and the authors with extensive promotion of published articles, long-term preservation, no space constraints.
JCI publishes papers on theoretical and applied causal research across the range of academic disciplines that use quantitative tools to study causality.
The past two decades have seen causal inference emerge as a unified field with a solid theoretical foundation, useful in many of the empirical and behavioral sciences. Journal of Causal Inference aims to provide a common venue for researchers working on causal inference in biostatistics and epidemiology, economics, political science and public policy, cognitive science and formal logic, and any field that aims to understand causality. The journal serves as a forum for this growing community to develop a shared language and study the commonalities and distinct strengths of their various disciplines' methods for causal analysis.
Existing discipline-specific journals tend to bury causal analysis in the language and methods of traditional statistical methodologies, creating the inaccurate impression that causal questions can be handled by routine methods of regression or simultaneous equations, glossing over the special precautions demanded by causal analysis. In contrast, JCI highlights both the uniqueness and interdisciplinary nature of causal research. Topics
Any field aiming at understanding causality, especially
- Biostatistics and epidemiology
- Economics
- Political science
- Public policy
- Cognitive science
- Formal logic
Causal inference:
- Research design
- Causal model and target parameter specification
- Identifiability
- Statistical estimation
- Sensitivity analysis/interpretation.
- Quantitative statistics’ elaboration of causal methods in applied data analyses
- Cross-disciplinary methodological research
- History of the causal inference field and its philosophical underpinnings
Article formats
Original research articles, book reviews, short communications on topics that aim to stimulate public debate and bring unorthodox perspectives to open questions
Open Access model
Due to the switch to Open Access model beginning from 2020 the Journal of Causal Inference will be subject to a voluntary Article Processing Charge (APC). There will be NO submission charges – Article Processing Charges will apply after the acceptance of a manuscript. Authors, who have limited access to funds, may request for a discount or full waiver. Inquiries concerning APCs should be addressed before or immediately after submission of a paper to the Managing Editor (jci_editorial@degruyter.com). For more details please refer to Article Processing Charges document (in PDF).
Instructions to Authors
Submission
Submit your article through our Online Submission Tool
Your benefits of publishing with us
Submission process
- Get familiar and set your manuscript according to our guidelines
- Submission of your paper via Online Submission Tool
- Peer review process
- Decision on your paper
- Online publishing
- You will be guided through the whole process of submission
- In case of any problems editorial assistance will be provided
Please note
We look forward to receiving your manuscript!
EDITORIAL POLICY
Unpublished material
Submission of a manuscript implies that the work described is not copyrighted, published or submitted elsewhere, except in abstract form. The corresponding author should ensure that all authors approve the manuscript before its submission.
Conflict of interest
When authors submit a manuscript, they are responsible for recognizing and disclosing financial and/or other conflicts of interest that might bias their work and/or could inappropriately influence his/her judgment. If no specified acknowledgement is given, the Editors assume that no conflict of interest exists.
Copyright
All authors retain copyright, unless – due to their local circumstances – their work is not copyrighted. The copyrights are governed by the Creative-Commons Attribution Only license(CC-BY) which is compliant with Plan-S. Scanned copy of license should be sent to the journal, as soon as possible.
Authorship
Authorship should be limited to those who have made a significant contribution to the conception, design, execution, or interpretation of the reported study. All those who have made significant contributions should be listed as coauthors. Where there are others who have participated in certain substantive aspects of the research project, they should be named in an Acknowledgement section.
Peer Review process
The Editors reserve the right to decline the submitted manuscript without review, if the studies reported are not sufficiently novel or important to merit publication in the journal. Manuscripts deemed unsuitable (insufficient originality or of limited interest to the target audience) are returned to the author(s) without review. The Editor seeks advice from experts in the appropriate field. Research articles and communications are refereed by a minimum of two reviewers, review papers by at least three. The journal uses single-blind peer review model. Authors are requested to suggest persons competent to review their manuscript. However, please note that this will be treated only as a suggestion, and the final selection of reviewers is exclusively the Editor’s decision. The final decision of acceptance in made by the main Editor of the journal.
Data sharing policy
Effective January 2021, the journal requires authors to follow data sharing policy. Research data should be made widely available to the research community in order to demonstrate the robustness and validity of the research presented in the journal, to encourage replication of the results, and to provide the community with opportunities to learn. By publishing in the journal authors are required to provide a data availability statement (DAS) in their articles. Authors are encouraged to share their data but not required to. The decision to publish will not be affected by whether or not authors share their research data.
Scientific Misconduct
This journal publishes only original manuscripts that are not also published or going to be published elsewhere. Multiple submissions/publications, or redundant publications (re-packaging in different words of data already published by the same authors) will be rejected. If they are detected only after publication, the journal reserves the right to publish a Retraction Note. In each particular case Editors will follow COPE’s Code of Conduct and implement its advice.
Editorial Board
Editors
Kosuke Imai, Harvard University, USA
Judea Pearl, University of California, Los Angeles, USA
Maya Petersen, University of California, Berkeley School of Public Health, USA
Mark van der Laan, University of California, Berkeley School of Public Health, USA
Editorial Board
Alberto Abadie, Harvard University, USA
Jaap H. Abbring, Tilburg University, Netherlands
Peter Aronow, Yale University, USA
Laura B. Balzer, University of Massachusetts – Amherst, USA
Elias Bareinboim, Columbia University, USA
David Benkeser, Emory University, USA
Kenneth Bollen, University of North Carolina, USA
Marco Carone, University of Washington, USA
Matias D. Cattaneo, Princeton University, USA
Antoine Chambaz, Université Paris Ouest Nanterre, France
Philip Dawid, University of Cambridge, UK
Iván Díaz, Weill Cornell Medicine, USA
Peng Ding, University of California, Berkeley, USA
Felix Elwert, University of Wisconsin-Madison, USA
Avi Feller, University of California, Berkeley, USA
Donald Green, Columbia University, USA
Jens Hainmueller, Stanford University, USA
Joseph Halpern, Cornell University, USA
James Heckman, University of Chicago, USA
Jennifer Hill, New York University, USA
Christopher Hitchcock, California Institute of Technology, USA
Paul Hünermund, School of Business and Economics, Maastricht University, The Netherlands
Marshall Joffe, University of Pennsylvania, USA
Cheng Ju, University of California, Berkeley, USA
Luke Keele, Penn State University, USA
Manabu Kuroki, The Institute of Statistical Mathematics, Tokyo, Japan
Edward Miguel, University of California, Berkeley, USA
Karthika Mohan, University of California, Berkeley, USA
Romain Neugebauer, Kaiser Permanente
Michael Oakes, University of Minnesota School of Public Health, USA
Sam Pimentel, University of California, Berkeley, USA
Ed Rigdon, Georgia State University, USA
James Robins, Harvard School of Public Health, USA
Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health, USA
Andrea Rotnitsky, Harvard School of Public Health, USA
Helene Rytgaard, University of Copenhagen, Denmark
Ilya Shpitser, University of Southampton, UK
Dylan Small, The Wharton School, University of Pennsylvania, USA
Michael Sobel, Columbia University, USA
Peter Sprites, Carnegie Mellon University, USA
Elizabeth Stuart, Johns Hopkins University, USA
Eric Tchetgen Tchetgen, Harvard School of Public Health, USA
Jin Tian, Iowa State University, USA
Tyler VanderWeele, Harvard School of Public Health, USA
Stijn Vansteelandt, Ghent University, Belgium, and London School of Public Health, UK
Ed Vytlacil, Yale University, USA
Steven West, Arizona State University, USA
Christopher Winship, Harvard University, USA
Teppei Yamamoto, Massachusetts Institute of Technology, USA
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