Stata Journal 2019

8 2021年2月21日

SJ 19-1

  • H. Joseph Newton, Nicholas J. Cox, 2019, Change of publisher: The Stata Journal is now published by SAGE Publishing, Stata Journal, 19(1): 1–1. -PDF-, -PDF2-
  • H. Joseph Newton, Nicholas J. Cox, 2019, Announcement of the Stata Journal Editors’ Prize 2019, Stata Journal, 19(1): 2–3. -PDF-, -PDF2-
  • David Roodman, Morten Ørregaard Nielsen, James G. MacKinnon, Matthew D. Webb, 2019, Fast and wild: Bootstrap inference in Stata using boottest, Stata Journal, 19(1): 4–60. -PDF-, -PDF2-
  • E. F. Haghish, 2019, Seamless interactive language interfacing between R and Stata, Stata Journal, 19(1): 61–82. -PDF-, -PDF2-
  • E. F. Haghish, 2019, On the importance of syntax coloring for teaching statistics, Stata Journal, 19(1): 83–86. -PDF-, -PDF2-
  • Alfonso Sánchez-Peñalver, 2019, Estimation methods in the presence of corner solutions, Stata Journal, 19(1): 87–111. -PDF-, -PDF2-
  • Maciej Jakubowski, Artur Pokropek, 2019, piaactools: A program for data analysis with PIAAC data, Stata Journal, 19(1): 112–128. -PDF-, -PDF2-
  • Carlo Schwarz, 2019, lsemantica: A command for text similarity based on latent semantic analysis, Stata Journal, 19(1): 129–142. -PDF-, -PDF2-
  • Stanislav Kolenikov, 2019, Updates to the ipfraking ecosystem, Stata Journal, 19(1): 143–184. -PDF-, -PDF2-
  • Constantin Ruhe, 2019, Bootstrap pointwise confidence intervals for covariate-adjusted survivor functions in the Cox model, Stata Journal, 19(1): 185–199. -PDF-, -PDF2-
  • Mehmet F. Dicle, 2019, Candle charts for financial technical analysis, Stata Journal, 19(1): 200–209. -PDF-, -PDF2-
  • Matias D. Cattaneo, Rocío Titiunik, Gonzalo Vazquez-Bare, 2019, Power calculations for regression-discontinuity designs, Stata Journal, 19(1): 210–245. -PDF-, -PDF2-
  • Nicholas J. Cox, Clyde B. Schechter, 2019, Speaking Stata: How best to generate indicator or dummy variables, Stata Journal, 19(1): 246–259. -PDF-, -PDF2-
  • ——, 2019, Announcements, Stata Journal, 19(1): 261–261. -PDF-, -PDF2-
  • ——, 2019, Stata Conference advertisement: Journal announcement from StataCorp, Stata Journal, 19(1): NP1–NP1. -PDF-, -PDF2-
  • ——, 2019, The Stata Journal back issues: Journal announcement from StataCorp, Stata Journal, 19(1): NP2–NP2. -PDF-, -PDF2-

SJ 19-2

  • Matteo Bottai, Nicola Orsini, 2019, qmodel: A command for fitting parametric quantile models, Stata Journal, 19(2): 261–293. -PDF-, -PDF2-
  • Legrand D. F. Saint-Cyr, Laurent Piet, 2019, mixmcm: A community-contributed command for fitting mixtures of Markov chain models using maximum likelihood and the EM algorithm, Stata Journal, 19(2): 294–334. -PDF-, -PDF2-
  • Jesper N. Wulff, 2019, Generalized two-part fractional regression with cmp, Stata Journal, 19(2): 375–389. -PDF-, -PDF2-
  • Chi-lin Tsai, 2019, Statistical analysis of the item-count technique using Stata, Stata Journal, 19(2): 390–434. -PDF-, -PDF2-
  • Clément de Chaisemartin, Xavier D’Haultfœuille, Yannick Guyonvarch, 2019,Fuzzy differences-in-differences with Stata, Stata Journal, 19(2): 435–458. -PDF-, -PDF2-
  • John Luke Gallup, 2019, Grade functions, Stata Journal, 19(2): 459–476. -PDF-, -PDF2-
  • Jacopo Lenzi, Santa Pildava, 2019, Tips for calculating and displaying risk-standardized hospital outcomes in Stata, Stata Journal, 19(2): 477–496. -PDF-, -PDF2-
  • ——, 2019, Software Updates, Stata Journal, 19(2): 497-497. -PDF-, -PDF2-
  • ——, 2019, Announcements, Stata Journal, 19(2): 498-500. -PDF-, -PDF2-

SJ 19-3

  • Tammy H. Cummings, James W. Hardin, 2019, Modeling count data with marginalized zero-inflated distributions, Stata Journal, 19(3): 499–509. -PDF-, -PDF2-
  • Brian W. Ward, 2019, kg_nchs: A command for Korn–Graubard confidence intervals and National Center for Health Statistics’ Data Presentation Standards for Proportions, Stata Journal, 19(3): 510–522. -PDF-, -PDF2-
  • Ran Xu, Kenneth A. Frank, Spiro J. Maroulis, Joshua M. Rosenberg, 2019, konfound: Command to quantify robustness of causal inferences, Stata Journal, 19(3): 523–550. -PDF-, -PDF2-
  • Giovanni Cerulli, 2019, Estimation of pre- and posttreatment average treatment effects with binary time-varying treatment using Stata, Stata Journal, 19(3): 551–565. -PDF-, -PDF2-
  • Niels Henrik Bruun, 2019, Visualizing effect modification on contrasts, Stata Journal, 19(3): 566–580. -PDF-, -PDF2-
  • Jaerim Choi, Shu Shen, 2019, Two-sample instrumental-variables regression with potentially weak instruments, Stata Journal, 19(3): 581–597. -PDF-, -PDF2-
  • John Luke Gallup, 2019, Added-variable plots with confidence intervals, Stata Journal, 19(3): 598–614. -PDF-, -PDF2-
  • Miguel Angel Luque-Fernandez, Daniel Redondo-Sánchez, Camille Maringe, 2019, cvauroc: Command to compute cross-validated area under the curve for ROC analysis after predictive modeling for binary outcomes, Stata Journal, 19(3): 615–625. -PDF-, -PDF2-
  • Christoph Halbmeier, Ann-Kristin Kreutzmann, Timo Schmid, Carsten Schröder, 2019, The fayherriot command for estimating small-area indicators, Stata Journal, 19(3): 626–644. -PDF-, -PDF2-
  • Stephen Pudney, 2019, intcount: A command for fitting count-data models from interval data, Stata Journal, 19(3): 645–666. -PDF-, -PDF2-
  • George G. Vega Yon, Brian Quistorff, 2019, parallel: A command for parallel computing, Stata Journal, 19(3): 667–684. -PDF-, -PDF2-
  • Myung Hwan Seo, Sueyoul Kim, Young-Joo Kim, 2019, Estimation of dynamic panel threshold model using Stata, Stata Journal, 19(3): 685–697. -PDF-, -PDF2-
  • Yiwei Xia, Yisu Zhou, Tianji Cai, 2019, gidm: A command for generalized inflated discrete models, Stata Journal, 19(3): 698–718. -PDF-, -PDF2-
  • Nicholas J. Cox, 2019, Speaking Stata: The last day of the month, Stata Journal, 19(3): 719–728. -PDF-, -PDF2-
  • Steven G. Heeringa, 2019, Review of Richard Valliant and Jill A. Dever’s Survey Weights: A Step-by-Step Guide to Calculation, Stata Journal, 19(3): 729–733. -PDF-, -PDF2-
  • Ben Jann, 2019, Review of William Gould’s The Mata Book: A Book for Serious Programmers and Those Who Want to Be, Stata Journal, 19(3): 734–737. -PDF-, -PDF2-
  • Tim P. Morris, 2019, Stata tip 131: Custom legends for graphs that use translucency, Stata Journal, 19(3): 738–740. -PDF-, -PDF2-
  • Nicholas J. Cox, Vince Wiggins, 2019, Stata tip 132: Tiny tricks and tips on ticks, Stata Journal, 19(3): 741–747. -PDF-, -PDF2-
  • ——, 2019, Software Updates, Stata Journal, 19(3): 748–751. -PDF-, -PDF2-
  • ——, 2019, Announcements, Stata Journal, 19(3): 752–753. -PDF-, -PDF2-

SJ 19-4

  • H. Joseph Newton, Nicholas J. Cox, 2019, The Stata Journal Editors’ Prize 2019: Matias D. Cattaneo, Stata Joural, 19(4): 753–756. -PDF-, -PDF2-
  • Christopher F. Baum, Arthur Lewbel, 2019, Advice on using heteroskedasticity-based identification, Stata Journal, 19(4): 757–767. -PDF-, -PDF2-
  • Victor Chernozhukov, Ivan Fernández-Val, Sukjin Han, Amanda Kowalski, 2019, Censored quantile instrumental-variable estimation with Stata, Stata Journal, 19(4): 768-781. -PDF-, -PDF2-
  • Alexandra Blenkinsop, Babak Choodari-Oskooei, 2019, Multiarm, multistage randomized controlled trials with stopping boundaries for efficacy and lack of benefit: An update to nstage, Stata Journal, 19(4): 782-802. -PDF-, -PDF2-
  • Jennifer Thompson, Calum Davey, Richard Hayes, James Hargreaves, Katherine Fielding, 2019, Permutation tests for stepped-wedge cluster-randomized trials, Stata Journal, 19(4): 803–819. -PDF-, -PDF2-
  • Ariel Linden, 2019, Assessing medication adherence using Stata, Stata Journal, 19(4): 820–831. -PDF-, -PDF2-
  • David M. Kaplan, 2019, distcomp: Comparing distributions, Stata Journal, 19(4): 832–848. -PDF-, -PDF2-
  • Stanislav Anatolyev, Alena Skolkova, 2019, Many instruments: Implementation in Stata, Stata Journal, 19(4): 849–866. -PDF-, -PDF2-
  • Daniel Klein, 2019, Extensions to the label commands, Stata Journal, 19(4): 867–882. -PDF-, -PDF2-
  • Barbara Rossi, Yiru Wang, 2019, Vector autoregressive-based Granger causality test in the presence of instabilities, Stata Journal, 19(4): 883–899. -PDF-, -PDF2-
  • Ariel Gu, Hong Il Yoo, 2019, vcemway: A one-stop solution for robust inference with multiway clustering, Stata Journal, 19(4): 900-912. -PDF-, -PDF2-
  • E. Keith Smith, Michael G. Lacy, Adam Mayer, 2019, Performance simulations for categorical mediation: Analyzing khb estimates of mediation in ordinal regression models, Stata Journal, 19(4): 913–930. -PDF-, -PDF2-
  • Michael J. Crowther, 2019, Multilevel mixed-effects parametric survival analysis: Estimation, simulation, and application, Stata Journal, 19(4): 931–949. -PDF-, -PDF2-
  • Oleg Badunenko, Harald Tauchmann, 2019, Simar and Wilson two-stage efficiency analysis for Stata, Stata Journal, 19(4): 950–988. -PDF-, -PDF2-
  • Nicholas J. Cox, 2019, Speaking Stata: Some simple devices to ease the spaghetti problem, Stata Journal, 19(4): 989–1008. -PDF-, -PDF2-
  • Nicholas J. Cox, 2019, Stata tip 133: Box plots that show median and quartiles only, Stata Journal, 19(4): 1009–1014. -PDF-, -PDF2-
  • William H. Dow, Edward C. Norton, J. Travis Donahoe, 2019, Stata tip 134: Multiplicative and marginal interaction effects in nonlinear models, Stata Journal, 19(4): 1015-1020. -PDF-, -PDF2-
  • David A. Wagstaff, Ofer Harel, 2019, A closer examination of three small-sample approximations to the multiple-imputation degrees of freedom, erratum, Stata Journal, 19(4): 499–509. -PDF-, -PDF2-
  • Tammy H. Cummings, James W. Hardin, 2019, Modeling count data with marginalized zero-inflated distributions, Stata Journal, 19(4): 1021–1023. -PDF-, -PDF2-