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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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Stata Journal Volume 16, Number 1

Articles and Columns



Announcement of the Stata Journal Editors' Prize 2016
 

16 and all that
 

Regressions are commonly misinterpreted
D. C. Hoaglin

Regressions are commonly misinterpreted: Comments on the article
J. W. Hardin

Regressions are commonly misinterpreted: Comments on the article
J. S. Long and D. M. Drukker

Regressions are commonly misinterpreted: A rejoinder
D. C. Hoaglin

Estimation of multivariate probit models via bivariate probit
J. Mullahy

diff: Simplifying the estimation of difference-in-differences treatment effects
J. M. Villa

mfpa: Extension of mfp using the ACD covariate transformation for enhanced parametric multivariable modeling
P. Royston and W. Sauerbrei

Quantifying the uptake of user-written commands over time
B. Choodari-Oskooei and T. P. Morris

bireprob: An estimator for bivariate random-effects probit models
A. Plum

conindex: Estimation of concentration indices
O. O'Donnell, S. O'Neill, T. Van Ourti, and B. Walsh

Estimating polling accuracy in multiparty elections using surveybias
K. Arzheimer and J. Evans

bicop: A command for fitting bivariate ordinal regressions with residual dependence characterized by a copula function and normal mixture marginals
M. Hernández-Alava and S. Pudney

Features of the area under the receiver operating characteristic (ROC) curve. A good practice.
D. Lora, I. Contador, J. F. Pérez-Regadera, and A. Gómez de la Cámara

Implementing factor models for unobserved heterogeneity in Stata
M. Sarzosa and S. Urzúa

Speaking Stata: Truth, falsity, indication, and negation
N. J. Cox

Review of Michael N. Mitchell's Stata for the Behavioral Sciences
P. B. Ender

A menu-driven facility for power and detectable-difference calculations in stepped-wedge cluster-randomized trials, erratum
K. Hemming and A. Girling

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