The Stata journal

• 

  Año 2020, Vol. 20, Número 1

  • The random forest algorithm for statistical learning

    Matthias Schonlau, Rosie Yuyan Zou

    • Resumen

    págs. 3-29

    

  • Added-variable plots for panel-data estimation

    John Luke Gallup

    • Resumen

    págs. 30-50

    

  • Recentered influence functions (RIFs) in Stata: RIF regression and RIF decomposition

    Fernando Rios-Avila

    • Resumen

    págs. 51-94

    

  • Fast Poisson estimation with high-dimensional fixed effects

    Sergio Correia, Paulo Guimarães

    • Resumen

    págs. 95-115

    

  • Recommendations about estimating errors-in-variables regression in Stata

    J. R. Lockwood, Daniel F. McCaffrey

    • Resumen

    págs. 116-130

    

  • When to consult precision-recall curves

    Jonathan Cook, Vikram Ramadas

    • Resumen

    págs. 131-148

    

  • A portmanteau test for serial correlation in a linear panel model

    Koen Jochmans, Vincenzo Verardi

    • Resumen

    págs. 149-151

    

  • Conducting sensitivity analysis for unmeasured confounding in observational studies using E-values: The evalue package

    Ariel Linden, Maya B. Mathur, Tyler J. VanderWeele

    • Resumen

    págs. 162-175

    

  • lassopack: Model selection and prediction with regularized regression in Stata

    Achim Ahrens, Christian B. Hansen, Mark E. Schaffer

    • Resumen

    págs. 176-235

    

  • Speaking Stata: Concatenating values over observations

    Nicholas J. Cox

    • Resumen

    págs. 236-243