Stata Journal 2016

5 2021年2月21日

SJ 16-1

  • H. Joseph Newton, Nicholas J. Cox, 2016, Announcement of the Stata Journal Editors’ Prize 2016, Stata Journal, 16(1): 1–2. -PDF-, -PDF2-
  • H. Joseph Newton, Nicholas J. Cox, 2016, 16 and all That, Stata Journal, 16(1): 3–4. -PDF-, -PDF2-
  • David C. Hoaglin, 2016, Regressions are Commonly Misinterpreted, Stata Journal, 16(1): 5–22. -PDF-, -PDF2-
  • James W. Hardin, 2016, Regressions are Commonly Misinterpreted: Comments on the Article, Stata Journal, 16(1): 23–24. -PDF-, -PDF2-
  • J. Scott Long, David M. Drukker, 2016, Regressions are Commonly Misinterpreted: Comments on the Article, Stata Journal, 16(1): 25–29. -PDF-, -PDF2-
  • David C. Hoaglin, 2016, Regressions are Commonly Misinterpreted: A Rejoinder, Stata Journal, 16(1): 30–36. -PDF-, -PDF2-
  • John Mullahy, 2016, Estimation of Multivariate Probit Models via Bivariate Probit, Stata Journal, 16(1): 37–51. -PDF-, -PDF2-
  • Juan M. Villa, 2016, Diff: Simplifying the Estimation of Difference-in-differences Treatment Effects, Stata Journal, 16(1): 52–71. -PDF-, -PDF2-
  • Patrick Royston, Willi Sauerbrei, 2016, Mfpa: Extension of mfp Using the ACD Covariate Transformation for Enhanced Parametric Multivariable Modeling, Stata Journal, 16(1): 72–87. -PDF-, -PDF2-
  • Babak Choodari-Oskooei, Tim P. Morris, 2016, Quantifying the Uptake of user-written Commands over Time, Stata Journal, 16(1): 88–95. -PDF-, -PDF2-
  • Alexander Plum, 2016, Bireprob: An Estimator for Bivariate Random-effects Probit Models, Stata Journal, 16(1): 96–111. -PDF-, -PDF2-
  • Owen O’Donnell, Stephen O’Neill, Tom Van Ourti, Brendan Walsh, 2016, Conindex: Estimation of Concentration Indices, Stata Journal, 16(1): 112–138. -PDF-, -PDF2-
  • Kai Arzheimer, Jocelyn Evans, 2016, Estimating Polling Accuracy in Multiparty Elections Using Surveybias, Stata Journal, 16(1): 139–158. -PDF-, -PDF2-
  • Mónica Hernández-Alava, Stephen Pudney, 2016, Bicop: A Command for Fitting Bivariate Ordinal Regressions with Residual Dependence Characterized by a Copula Function and Normal Mixture Marginals, Stata Journal, 16(1): 159–184. -PDF-, -PDF2-
  • David Lora, Israel Contador, José F. Pérez-Regadera, Agustín Gómez de la Cámara, 2016, Features of the Area under the Receiver Operating Characteristic (ROC) Curve. A Good Practice, Stata Journal, 16(1): 185–196. -PDF-, -PDF2-
  • Miguel Sarzosa, Sergio Urzúa, 2016, Implementing Factor Models for Unobserved Heterogeneity in Stata, Stata Journal, 16(1): 197–228. -PDF-, -PDF2-
  • Nicholas J. Cox, 2016, Speaking Stata: Truth, Falsity, Indication, and Negation, Stata Journal, 16(1): 229–236. -PDF-, -PDF2-
  • Philip B. Ender, 2016, Review of Michael N. Mitchell’s Stata for the Behavioral Sciences, Stata Journal, 16(1): 237–242. -PDF-, -PDF2-
  • Karla Hemming, Alan Girling, 2016, A Menu-driven Facility for Power and Detectable-difference Calculations in Stepped-wedge Cluster-randomized Trials, Erratum, Stata Journal, 16(1): 243–243. -PDF-, -PDF2-

SJ 16-2

  • Ben Jann, 2016, Creating LaTeX Documents from within Stata using Texdoc, Stata Journal, 16(2): 245–263. -PDF-, -PDF2-
  • Ben Jann, 2016, Assessing Inequality Using Percentile Shares, Stata Journal, 16(2): 264–300. -PDF-, -PDF2-
  • Xinling Xu, James W. Hardin, 2016, Regression Models for Bivariate Count Outcomes, Stata Journal, 16(2): 301–315. -PDF-, -PDF2-
  • Ying Xu, Paul Milligan, Edmond J. Remarque, Yin Bun Cheung, 2016, Implementing Weighted-average Estimation of Substance Concentration Using Multiple Dilutions, Stata Journal, 16(2): 316–330. -PDF-, -PDF2-
  • Matias D. Cattaneo, Rocío Titiunik, Gonzalo Vazquez-Bare, 2016, Inference in Regression Discontinuity Designs under Local Randomization, Stata Journal, 16(2): 331–367. -PDF-, -PDF2-
  • Joseph V. Terza, 2016, Simpler Standard Errors for Two-stage Optimization Estimators, Stata Journal, 16(2): 368–385. -PDF-, -PDF2-
  • Marco Savegnago, 2016, Igmobil: A Command for Intergenerational Mobility Analysis in Stata, Stata Journal, 16(2): 386–402. -PDF-, -PDF2-
  • Nicolai T. Borgen, 2016, Fixed Effects in Unconditional Quantile Regression, Stata Journal, 16(2): 403–415. -PDF-, -PDF2-
  • Stephan Huber, Christoph Rust, 2016, Calculate Travel Time and Distance with Openstreetmap Data Using the Open Source Routing Machine (OSRM), Stata Journal, 16(2): 416–423. -PDF-, -PDF2-
  • Tamara Burdisso, Máximo Sangiácomo, 2016, Panel Time Series: Review of the Methodological Evolution, Stata Journal, 16(2): 424–442. -PDF-, -PDF2-
  • Suzie Cro, Tim P. Morris, Michael G. Kenward, James R. Carpenter, 2016, Reference-based Sensitivity Analysis via Multiple Imputation for Longitudinal Trials with Protocol Deviation, Stata Journal, 16(2): 443–463. -PDF-, -PDF2-
  • Jean-François Hamel, Véronique Sébille, Gaëlle Challet-Bouju, Jean-Benoit Hardouin, 2016, Partial Credit Model: Estimations and Tests of Fit with Pcmodel, Stata Journal, 16(2): 464–481. -PDF-, -PDF2-
  • Kenneth Houngbedji, 2016, Abadie’s Semiparametric Difference-in-differences Estimator, Stata Journal, 16(2): 482–490. -PDF-, -PDF2-
  • Nicholas J. Cox, 2016, Speaking Stata: Multiple bar Charts in Table form, Stata Journal, 16(2): 491–510. -PDF-, -PDF2-
  • Clyde Schechter, 2016, Review of Christopher F. Baum’s An Introduction to Stata Programming, Second Edition, Stata Journal, 16(2): 511–516. -PDF-, -PDF2-
  • Christopher F. Baum, Sebastiaan Bibo, 2016, Stata Tip 126: Handling Irregularly Spaced high-frequency Transactions Data, Stata Journal, 16(2): 517–520. -PDF-, -PDF2-

SJ 16-3

  • Michael Keane, Timothy Neal, 2016, The Keane and Runkle Estimator for Panel-data Models with Serial Correlation and Instruments that are not Strictly Exogenous, Stata Journal, 16(3): 523–549. -PDF-, -PDF2-
  • Oleg Badunenko, Pavlo Mozharovskyi, 2016, Nonparametric Frontier Analysis Using Stata, Stata Journal, 16(3): 550–589. -PDF-, -PDF2-
  • Brendan Halpin, 2016, Multiple Imputation for Categorical Time Series, Stata Journal, 16(3): 590–612. -PDF-, -PDF2-
  • Keisuke Kondo, 2016, Hot and Cold Spot Analysis Using Stata, Stata Journal, 16(3): 613–631. -PDF-, -PDF2-
  • Kenneth L. Simons, 2016, A Sparser, Speedier Reshape, Stata Journal, 16(3): 632–649. -PDF-, -PDF2-
  • Andreas Andersen, Andreas Rieckmann, 2016, Using mi Impute Chained to fit ANCOVA Models in Randomized Trials with Censored Dependent and Independent Variables, Stata Journal, 16(3): 650–661. -PDF-, -PDF2-
  • Andrew Q. Philips, Amanda Rutherford, Guy D. Whitten, 2016, Dynsimpie: A Command to Examine Dynamic Compositional Dependent Variables, Stata Journal, 16(3): 662–677. -PDF-, -PDF2-
  • Theodore G. Karrison, 2016, Versatile Tests for Comparing Survival Curves Based on Weighted Log-rank Statistics, Stata Journal, 16(3): 678–690. -PDF-, -PDF2-
  • Juan Manuel Ramos-Goñi, Yolanda Ramallo-Fariña, 2016, Eq5dds: A Command to Analyze the Descriptive System of EQ-5D Quality-of-life Instrument, Stata Journal, 16(3): 691–701. -PDF-, -PDF2-
  • Angel Cronin, Lu Tian, Hajime Uno, 2016, Strmst2 and Strmst2pw: New Commands to Compare Survival Curves Using the Restricted Mean Survival time, Stata Journal, 16(3): 702–716. -PDF-, -PDF2-
  • Anil Alpman, 2016, Implementing Rubin’s Alternative Multiple-imputation Method for Statistical Matching in Stata, Stata Journal, 16(3): 717–739. -PDF-, -PDF2-
  • Tomás Del Barrio Castro, Andrii Bodnar, Andreu Sansó, 2016, The Lag-length Selection and Detrending Methods for HEGY Seasonal Unit-root Tests Using Stata, Stata Journal, 16(3): 740–760. -PDF-, -PDF2-
  • Michael P. Babington, Javier Cano-Urbina, 2016, A Test for Exogeneity in the Presence of Nonlinearities, Stata Journal, 16(3): 761–777. -PDF-, -PDF2-
  • Michael R. M. Abrigo, Inessa Love, 2016, Estimation of Panel Vector Autoregression in Stata, Stata Journal, 16(3): 778–804. -PDF-, -PDF2-
  • Nicholas J. Cox, 2016, Speaking Stata: Shading Zones on Time Series and Other Plots, Stata Journal, 16(3): 805–812. -PDF-, -PDF2-

SJ 16-4

  • H. Joseph Newton, Nicholas J. Cox, 2016, The Stata Journal Editors’ Prize 2016: Patrick Royston, Stata Journal, 16(4): 815–825. -PDF-, -PDF2-
  • David M. Drukker, 2016, A Generalized Regression-adjustment Estimator for Average Treatment Effects from Panel Data, Stata Journal, 16(4): 826–836. -PDF-, -PDF2-
  • Ben Jann, 2016, Estimating Lorenz and Concentration Curves, Stata Journal, 16(4): 837–866. -PDF-, -PDF2-
  • Constantin Ruhe, 2016, Estimating Survival Functions after Stcox with Time-varying Coefficients, Stata Journal, 16(4): 867–879. -PDF-, -PDF2-
  • Odile Sauzet, Maren Kleine, 2016, Distributional Estimates for the Comparison of Proportions of a Dichotomized Continuous Outcome, Stata Journal, 16(4): 880–899. -PDF-, -PDF2-
  • Miguel Manjón, Juan Mañez, 2016, Production Function Estimation in Stata Using the Ackerberg–Caves–Frazer Method, Stata Journal, 16(4): 900–916. -PDF-, -PDF2-
  • Nick Guenther, Matthias Schonlau, 2016, Support Vector Machines, Stata Journal, 16(4): 917–937. -PDF-, -PDF2-
  • E. F. Haghish, 2016, Rethinking Literate Programming in Statistics, Stata Journal, 16(4): 938–963. -PDF-, -PDF2-
  • E. F. Haghish, 2016, Markdoc: Literate Programming in Stata, Stata Journal, 16(4): 964–988. -PDF-, -PDF2-
  • Hannah Bower, Michael J. Crowther, Paul C. Lambert, 2016, Strcs: A Command for Fitting Flexible Parametric Survival Models on the Log-hazard Scale, Stata Journal, 16(4): 989–1012. -PDF-, -PDF2-
  • Sebastian Kripfganz, 2016, Quasi–maximum Likelihood Estimation of Linear Dynamic Short-T panel-data Models, Stata Journal, 16(4): 1013–1038. -PDF-, -PDF2-
  • Javier Alejo, Anil Bera, Gabriel Montes-Rojas, Antonio Galvao, Zhijie Xiao, 2016, Tests for Normality Based on the Quantile-mean Covariance, Stata Journal, 16(4): 1039–1057. -PDF-, -PDF2-
  • Nicholas J. Cox, 2016, Speaking Stata: Letter Values as Selected Quantiles, Stata Journal, 16(4): 1058–1071. -PDF-, -PDF2-