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The Stata Journal Articles and Columns 1 Announcement of theStata Journal Editors’ Prize 2018 . . 1
Power and sample-size analysis for the Royston–Parmarcombined test in clinical trials with a time-to-event outcome. P. Royston. . .. . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . .. . . . .. . . . . . . . . . . . . . . . . . . . 3
Unit-root tests based on forward and reverse Dickey–Fuller regressions.. . . J. Otero and C. F. Baum 22
validscale: A command to validate measurement scales .. .B.Perrot, E. Bataille, and J.-B. Hardouin 29
A command for fittingmixture regression models for bounded dependent variables using the betadistribution . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . L. A. Gray and M.Hern′andez Alava 51
Testing for serial correlation in fixed-effects panel models. . . . . . . . . . . . . . . . . . . .. . . . . . J. Wursten 76
ldagibbs: A command for topic modeling in Stata using latentDirichlet allocation .. . . C. Schwarz 101
Exploring marginal treatment effects: Flexible estimationusing Stata. . . . . . . . . . .. M. E.Andresen 118
Fitting and interpreting correlated random-coefficientmodels using Stata . . . . . . . . . . . . . . O. Barriga Cabanillas, J. D.Michler, A. Michuda, and E. Tjernstr¨om 159 heckroccurve: ROC curves forselected samples . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . .J. A. Cook and A. Rajbhandari 174
Panel unit-root tests for heteroskedastic panels. . . . . .. . . . . . . . . . . H. Herwartz, S. Maxand, F. H. C. Raters, and Y. M. Walle184
Some commands to help produce Rich Text Files from Stata . .. . . . . . . . . . . . . . . .. . . .M. S. Gillman 197
Standard-error correction in two-stage optimization models:A quasi–maximum likelihood estimation approach . . . . . F. Rios-Avila and G.Canavire-Bacarreza 206 Assessing the health economic agreement of differentdata sources . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . .. . . . . D. Gallacher and F. Achana 223
Manipulation testing based on density discontinuity . . . .. . .M. D. Cattaneo, M. Jansson and X. Ma 234
Speaking Stata: Logarithmic binning and labeling. . . . . .. . . . . . . . . . . . . . . . . . . . .. . . . . . . . .N. J. Cox 262
Notes and Comments 287 Stata tip 129: Efficiently processingtextual data with Stata’s new Unicode features. . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . .A. Koplenig 287
Software Updates 290
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