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 • Life-table estimation of relative survival
• Censored data regression with pseudovalues •
Flexible parametric models • Model comparison with
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
Simulations of ARIMA models •
Long-run covariance and cointegration •
X-12-ARIMA seasonal adjustment •
Financial portfolio selection •
Seasonal unit-root tests •
Tests for serial correlation •
Interrupted time-series analysis
- Panel data and multilevel models
Generalized linear mixed models •
Dynamic panel-data models •
Nonstationary panel-data models •
Correlated random effects •
Unbalanced panel-data estimation •
Panel-data stochastic frontier models •
Fixed-effect panel threshold models
- Advanced methods
Maximum simulated likelihood •
Multivalued treatment effects •
Propensity-score and nearest-neighbor matching •
Multiple imputation •
Principal coordinate analysis •
Power and sample size •
GLM measurement error and calibration •
Instrumental variables and GMM •
Semiparametric regression •
Demand system estimation •
Nonparametric bootstrap with shrinkage •
Multivariate outlier detection •
Kernel density •
Bayesian model averaging •
Blinder-Oaxaca decompositions •
Quasi-least squares •
Multivariate decomposition for nonlinear response
- 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