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The Stata Journal

The Stata Journal

Promoting communications on statistics and Stata
2018 Impact Factor: 1.796
2018 Ranking: 31/123 in Statistics & Probability | 31/123 in Statistics & Probabilitiy | 16/49 in Social Sciences, Mathematical Methods
Source: Journal Citation Reports (Web of Science Group, 2019)
Published in Association with StataCorp LLC

H. Joseph Newton Texas A&M University, USA
Nicholas J. Cox Durham University, UK

eISSN: 1536873 | ISSN: 1536867X | Current volume: 19 | Current issue: 4 Frequency: Quarterly

The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata's language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.

The Journal Citation Reports of the ISI Web of Knowledge ranks the Stata Journal consistently in the top 20 among journals in the Social Sciences Mathematical Methods category in terms of citations, impact factor, and 5-year impact factor.

The Stata Journal has served as a hub for the collected wisdom of countless Stata users since 2001, continuing a tradition started with the publication of the first issue of the Stata Technical Bulletin in 1991. The Stata Journal includes peer-reviewed articles together with shorter notes and comments, regular columns, book reviews, and other material of interest for Stata users. Papers published in the journal help readers comprehend and apply cutting-edge statistical methods to their research, broaden the understanding of intermediate and advanced Stata users, and cover topics that are of practical importance to researchers yet are not often written about elsewhere.

Covering a broad spectrum of statistical techniques and helpful advice for Stata users, topics presented include survival analysis, panel data, time series, Bayesian analysis, choice models, meta-analysis, treatment effects, semi-nonparametric estimation, simultaneous equation modeling, and general statistical and graphical analysis. Whether you are a biostatistician, economist, data scientist, social scientist, behavioral scientist, survey analyst, or interested in rigorous applied statistical methods, you will find useful and insightful articles.

Nicholas J. Cox Durham University, UK
H. Joseph Newton Texas A&M University, USA
Associate Editors
Christopher F. Baum Boston College, USA
Nathaniel Beck New York University, USA
Rino Bellocco University of Milano-Bicocca, Italy
Maarten L. Buis University of Konstanz, Germany
A. Colin Cameron University of California, Davis, USA
Mario A. Cleves University of South Florida, USA
Michael Crowther University of Leicester, UK
William D. Dupont Vanderbilt University, USA
Philip Ender University of California, Los Angeles, USA
James Hardin University of South Carolina, USA
Ben Jann University of Bern, Switzerland
Stephen Jenkins London School of Economics and Political Science, UK
Ulrich Kohler University of Potsdam, Germany
Frauke Kreuter University of Maryland, College Park, USA
Peter A. Lachenbruch Oregon State University, USA
Stanley Lemeshow Ohio State University, USA
J. Scott Long Indiana University, USA
Roger Newson Imperial College, London, UK
Austin Nichols Abt Associates, Washington, DC, USA
Marcello Pagano Harvard School of Public Health, USA
Sophia Rabe-Hesketh University of California - Berkeley, USA
J. Patrick Royston MRC CTU at UCL, London, UK
Mark E. Schaffer Heriot-Watt University, Edinburgh, UK
Philippe Van Kerm Luxembourg Institute of Socio-Economic Research, Luxembourg
Vincenzo Verardi Université Libre de Bruxelles, Belgium
Ian White MCR Clinical Trials Unit at University College London, UK
Richard A. Williams  
Jeffrey M. Wooldridge Michigan State University, USA
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