
- Overview
- Details
- Call for Papers/Guidelines
- Additional Information
- Abstracting & Indexing
- Editorial Information
- Comments (3)
Aims and Scope
Journal of Causal Inference (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.
Submissions
Journal of Causal Inference encourages
submission of applied and theoretical work from across the range of rigorous causal paradigms. Research articles may focus
on advances in one or more of the following steps of causal inference: research design, causal model and target parameter
specification, identifiability, statistical estimation, or sensitivity analysis/interpretation. The journal also provides
a venue for quantitative statistical papers that include a full formal elaboration of causal methods in applied data analyses
beyond the abbreviated format typical in many applied journals.
In addition to significant original research articles,
JCI also welcomes submissions that synthesize and assess cross-disciplinary methodological research, as well as submissions
that discuss the history of the causal inference field and its philosophical underpinnings. Areas of emerging consensus and
ongoing controversy are highlighted in editorials and invited commentaries. The journal further encourages submission of unsolicited
short communications on topics that aim to stimulate public debate and bring unorthodox perspectives to open questions.
research, as well as submissions that discuss the history of the causal inference field and its philosophical underpinnings. Areas of emerging consensus and ongoing controversy are highlighted in editorials and invited commentaries. The journal further encourages submission of unsolicited short communications on topics that aim to stimulate public debate and bring unorthodox perspectives to open questions.
- Type of Publication:
- Journal
- Subjects
- Natural Sciences > Physics > Physics, General
- Mathematics > Probability Theory and Statistics
- Medicine > Social Medicine
- Natural Sciences > Biology > Methods
- Social Sciences, Economics > Political Economy > Mathematical Methods, Economic Information
- Social Sciences, Economics > Business Management > Mathematical Methods, OR
Editors
Judea Pearl
University of California
Los Angeles
Maya Petersen
University of California
Berkeley School of Public Health
Jasjeet Sekhon
University of California
Berkeley
Elizabeth Stuart
Johns Hopkins University
Mark van der Laan
University of California
Berkeley School of Public Health
Editorial Board
Jaap H. Abbring
Tilburg University
Kenneth Bollen
University of North Carolina
Philip Dawid
University of Cambridge
Donald Green
Yale University
Sander Greenland
University of California
Los Angeles
Joseph Halpern
Cornell University
James Heckman
University of Chicago
Miguel Hernan
Harvard School of Public Health
Jennifer Hill
New York University
Christopher Hitchcock
California Institute of Technology
Kosuke Imai
Princeton University
Marshall Joffe
University of Pennsylvania
Manabu Kuroki
The Institute of Statistical Mathematics
Edward Miguel
University of California
Berkeley
Erica Moodie
McGill University
Michael Oakes
University of Minnesota School of Public Health
Thomas Richardson
University of Washington
Ed Rigdon
Georgia State University
James Robins
Harvard School of Public Health
Michael Rosenblum
Johns Hopkins Bloomberg School of Public Health
Andrea Rotnitsky
Harvard School of Public Health
Dylan Small
The Wharton School
University of Pennsylvania
Michael Sobel
Columbia University
Peter Sprites
Carnegie Mellon University
Eric Tchetgen Tchetgen
Harvard School of Public Health
Jin Tian
Iowa State University
Tyler VanderWeele
Harvard School of Public Health
Stijn Vansteelandt
Ghent University
Belgium and London School of Public Health
Ed Vytlacil
Yale University
Steven West
Arizona State University
Halbert White
University of California
San Diego
Christopher Winship
Harvard University

















this is very interesting article abt acetaminophen induced hepatotoxicity
posted by: swapnil goyal on 02/14/2012 02:26 PM (Europe/Berlin)
this is very interesting article.
posted by: swapnil goyal on 02/14/2012 02:27 PM (Europe/Berlin)
Very interesting article
posted by: Saed Ahmad on 02/16/2012 03:13 PM (Europe/Berlin)