2001-Present

Quarterly

H.Joseph Newton; Nicholas J. Cox

Texas A&M University; Durham University

English

1536-867X

https://www.stata-journal.com/

No

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CC/S&BS; SSCI; Science Citation Index Expanded; CompuMath Citation Index

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.

Statistics; Data Analysis

No

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-

A paper should potentially be of interest to users of the statistical software Stata. We are especially interested in publishing the following kinds of papers: Expository papers that link the use of Stata commands or programs to associated principles, such as those that will serve as tutorials for readers first encountering a new field of statistics or a major new technique. Papers that go “beyond the Stata manual” in explaining key features or uses of Stata that are relevant to intermediate or advanced users of Stata. Papers that discuss new commands or Stata programs of interest either to a wide spectrum of users (for example, in data management or graphics) or to some large segment of Stata users (for example, in survey statistics, survival analysis, panel analysis, limited dependent variable modeling). Papers that analyze the statistical properties of new or existing estimators and tests in Stata. This includes topics such as simulations of bias, convergence, or small-sample properties of estimators and tests; power analyses; and comparisons of tests or estimators. Papers of interest or usefulness to researchers, especially in fields that are of practical importance but not often written up in texts or other journals (for example, the use of Stata in managing datasets, particularly large datasets, with advice from hard-won experience). Papers of interest to those teaching with Stata. Topics might include extended examples of techniques and interpretation of results, simulations of statistical concepts, and overviews of subject areas.