期刊名称：STATA JOURNAL
 期刊简介(About the journal)
投稿须知(Instructions to Authors)
编辑部信息(Editorial Board)
About the journal
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The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata's language. The 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. |
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The Stata Journal is indexed in Thomson Scientific’s citation indexes (Social Sciences Citation Index, Current Contents/Social and Behavioral Sciences, Science Citation Index Expanded, and CompuMath Citation Index), RePEc: Research Papers in Economics, and Scopus.
About
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.
Peer-reviewed articles
- Papers that help readers comprehend and apply cutting-edge statistical methods to their research.
- Papers on the statistical properties of new or existing estimators, tests, and features of Stata that broaden the understanding of intermediate and advanced Stata users.
- Papers that are interesting and useful, covering topics that are of practical importance to researchers yet are not often written about elsewhere. An example topic could be managing large datasets, with advice from hard-won experience.
- Papers of interest to those teaching with Stata. Topics include examples of techniques with interpretation of results, simulations of statistical concepts, and overviews of subject areas.
With the Stata Journal, you will also learn and benefit from
- Speaking Stata
“Speaking Stata” by Nicholas J. Cox, geographer at Durham University and long-time Stata user, concentrates on the effective and fluent use of Stata as a language. Advice and detailed examples cover the commands, devices, habits, tricks, tactics, and strategies that make problem solving easier for the Stata user.
- Tips
Stata tips are very concise notes about Stata commands, features, or tricks that you may not yet have encountered. A tip draws attention to useful details about Stata or how to use Stata. Tips are brief—usually one or two printed pages. We welcome submissions of tips from readers, as well as suggestions for the kinds of tips you would like to see.
- Indexing
The Stata Journal has been added to four of Thomson Scientific’s citation indexes—the Science Citation Index Expanded, the CompuMath Citation Index, Social Sciences Citation Index, and Current Contents/Social and Behavioral Sciences. The Stata Journal joins over 6,000 science, technical, mathematical, and statistical journals in these indexes and appears in cited reference search results. Learn more.
Statistical techniques and Stata features
The Stata Journal includes articles that cover a broad spectrum of statistical techniques. Whether you are a biostatistician, economist, social scientist, behavioral scientist, survey analyst, or just interested in rigorous applied statistical methods, you will find useful and insightful articles. Examples of topics discussed in past articles include the following:
- Survival analysis
Cure models • Competing-risks models • Parametric frailty models • Censored data regression with pseudovalues • Flexible parametric models • Predictive power of Harrell's C and Somer's D • Joint longitudinal and survival data • Threshold regression • G-estimation • Data simulation • Aalen's linear hazards model •
- Interactive applications
Stata and Google maps • Stata and Dropbox • Stata and Latex • Stata and Google keyhole markup • Stata and HTML • Importing financial data • Stata and Microsoft Office • Stata and web-based information systems • Multilingual datasets
- Meta-analysis
Multivariate random effects • Nonparametric trim and fill analysis • Missing data • Tests for bias and small-study effects • Simulation-based sample-size calculations • GLS for summarized dose–response data • Diagnostic accuracy with hierarchical logistic regression • Contour-enhanced funnel plots • Forest plots
- Time series
Panel time series • Stochastic frontier analysis • Financial portfolio selection • Long-run covariance and cointegration • X-12-ARIMA seasonal adjustment • Simulations of ARIMA models • Seasonal unit-root tests • Tests for serial correlation
- Panel and multilevel-data analysis
Generalized linear mixed models • Dynamic panel-data models • Sensitivity analysis • Endogenous switching models • Nonstationary panel-data models • Adjusted risk ratios • Correlated random effects • Demand system estimation • Multivariate decompositions for nonlinear response • Multivariate outlier detection • Unbalanced panel-data estimation
- Cross-sectional models
Multivalued treatment effects • Propensity-score and nearest-neighbor matching • Multiple imputation • Power and sample size • Principal coordinate analysis • Maximum simulated likelihood • GLM measurement error and calibration • Instrumental variables and GMM • Hurdle • Semiparametric regression • Single index • Nonparametric bootstrap with shrinkage • Kernel density • Bayesian model averaging • Blinder–Oaxaca decompositions • Quasi-least squares
- Graphics
Manhattan plots • Marginal model plots • Quantile plots • Confidence ellipses • Distribution plots • Inverse response plots • Smile plots • Spine plots • Thematic maps • Link plots • Bland-Altman plots • Contour-enhanced funnel plots • Forest plots • Trellis plots • Venn diagrams • Chernoff faces
Sample articles
The Stata Journal includes articles covering a broad spectrum of statistical techniques and helpful advice for Stata users. Among the topics presented are survival analysis, panel data, time series, choice models, meta-analysis, treatment effects, semi-nonparametric estimation, simultaneous equation modeling, and general statistical and graphical analysis. Whether you are a biostatistician, economist, social scientist, behavioral scientist, survey analyst, or interested in rigorous applied statistical methods, you will find useful and insightful articles.
- Estimation of nonstationary heterogeneous panels
- E. F. Blackburne and M. W. Frank
- Regression analysis of censored data using pseudo-observations
- E. T. Parner and P. K. Andersen
- Multivariate random-effects meta-regression: Updates to mvmeta
- I. R. White
- Data envelopment analysis
- Y. Ji and C. Lee
- Menu-driven X-12-ARIMA seasonal adjustment in Stata
- Q. Wang and N. Wu
- Stata utilities for geocoding and generating travel time and travel distance information
- A. Ozimek and D. Miles
- Using the margins command to estimate and interpret adjusted predictions and marginal effects
- R. Williams
- Stata tip 87: Interpretation of interactions in nonlinear models
- M. Buis
- Fitting fully observed recursive mixed-process models with cmp
- D. Roodman
- Causal inference with observational data
- A. Nichols
- Estimating the dose–response function through a generalized linear model approach
- B. Guardabascio and M. Ventura
- Creating and managing spatial-weighting matrices with the spmat command
- D. M. Drukker, I. R. Prucha, and R. Raciborski
- How to do xtabond2: An introduction to difference and system GMM in Stata
- D. Roodman
- Further development of flexible parametric models for survival analysis
- P. C. Lambert and P. Royston
- Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables
- A. Miranda and S. Rabe-Hesketh
- Stata tip 88: Efficiently evaluating elasticities with the margins command
- C. F. Baum
- Stata tip 81: A table of graphs
- M. L. Buis and M. Weiss
- Speaking Stata: Paired, parallel, or profile plots for changes, correlations, and other comparisons
- N. J. Cox
- riskplot: A graphical aid to investigate the effect of multiple categorical risk factors
- M. Falcaro and A. Pickles
- Speaking Stata: Axis practice, or what goes where on a graph
- N. J. Cox
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Instructions to Authors
Submissions to the Stata Journal
We welcome submissions to the Stata Journal.
Please see the information on types of submissions, which should help you to judge the appropriateness of your submission.
We prefer that articles be submitted in LaTeX. We wrote Getting started with the Stata Journal, which contains the Stata Journal document class and Stata output package along with examples for authors new to the Stata Journal, for your reference.
ASCII and Word contributions will be accepted.
Choice of program names can be problematic. Authors may use any legal program names they like during development, but publication of programs brings some constraints:
- Your program names should not clash with those of previously written official commands or user-written programs. search myprogname will tell you whether myprogname is already in use. (Naturally, if it is you that previously used the name, say, by posting on SSC a program that you are now writing up for the Stata Journal, that is not a problem.)
- StataCorp requests that you avoid names that might be used in the future for new official commands. Short, simple words that can be found in an English dictionary are always attractive to StataCorp (for example, list, describe), as are standard abbreviations or contractions for existing techniques (pca, anova). It is, admittedly, difficult for authors to predict what StataCorp might do, or be thinking of doing, but in case of doubt, please contact the editors in the first instance, who will be happy to take soundings on your behalf.
When submitting your article for review, please include the following:
- Your article. (If you are submitting updated programs of software that previously appeared in the Stata Journal, you only need to send a sentence explaining the fix with the programs.)
- Figures should be submitted as EPS files in a monochrome scheme.
- All programs, do-files, and datasets used to generate output listings in your article. (If you are submitting updated programs of software that previously appeared in the Stata Journal, you should download the official Stata Journal files before making the necessary changes to the files.)
- If your article discusses a program (or programs) you wrote, also submit a "README.txt" file that contains the following information:
- title of your article,
- a list of the authors and their affiliations,
- an email address for the person who will provide technical support, and
- a list of all the files you want available for download.
Here is an example "README.txt" file.
Submissions should be sent to editors@stata-journal.com. Manuscripts will be acknowledged by the editor upon receipt. After a preliminary editorial review, articles will be sent to reviewers who have expertise in the subject of the article. The Stata Journal uses a blind review system. The review process generally takes 3–6 months. Authors may contact the editor at any time to check the status of their manuscript.
Submission to the Stata Journal implies that (a) identical or substantially the same material is not currently under review by another academic journal, and (b) the authors will not submit such material to another journal before they receive a decision from the Stata Journal.
Copyright information: Contributors must sign and send to StataCorp a copy of the Stata Journal Contributor Assignment Agreement before any article can be published. If an article has multiple authors, each author must sign the agreement. While you are waiting for a decision from the Journal, we are happy if you make the same material available via personal, institutional, or collective websites as a draft or working paper (or the equivalent) in your field. Such material should be flagged as under review by the Stata Journal. Papers published in the Stata Journal may be made available electronically according to the terms of the Contributor Assigment Agreement. We are happy if you distribute copies of your paper as reprints or photocopies in accordance with the Contributor Assigment Agreement. If the article is not accepted for publication, the Contributor Assignment Agreement will terminate and become void. You will be notified if this occurs.
Although the Stata Journal focuses on Stata-specific application of a general technique, the restriction above does not prohibit you from submitting your technique to another journal with a different focus.
Editorial Board
Editors
H. Joseph Newton, Texas A&M University, USA
editors@stata-journal.com
Nicholas J. Cox, Durham University, UK
editors@stata-journal.com
Associate Editors
Christopher F. Baum, Boston College, USA
Nathaniel Beck, New York University, USA
Rino Bellocco, Karolinska Institutet, Sweden, and University of Milano-Bicocca, Italy
Maarten L. Buis, WZB, Berlin, Germany
A. Colin Cameron, University of California–Davis, USA
Mario A. Cleves, University of Arkansas for Medical Sciences, USA
William D. Dupont, Vanderbilt University, USA
Philip Ender, University of California–Los Angeles, USA
David Epstein, Columbia University, USA
Allan Gregory, Queen's University, Canada
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
Jens Lauritsen, Odense University Hospital, Denmark
Stanley Lemeshow, Ohio State University, USA
J. Scott Long, Indiana University, USA
Roger Newson, Imperial College, London, UK
Austin Nichols, Urban Institute, Washington DC, USA
Marcello Pagano, Harvard School of Public Health, USA
Sophia Rabe-Hesketh, University of California–Berkeley, USA
J. Patrick Royston, MRC Clinical Trials Unit, London, UK
Philip Ryan, University of Adelaide, Australia
Mark E. Schaffer, Heriot-Watt University, Edinburgh, UK
Jeroen Weesie, Utrecht University, Netherlands
Ian White, MRC Biostatistics Unit, Cambridge, UK
Nicholas J. G. Winter, University of Virginia, USA
Jeffrey Wooldridge, Michigan State University, USA
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