Stata is a complete, integrated statistical package that provides everything you need for data analysis, data management, and graphics. Stata is not sold in modules, which means you get everything you need in one package. And, you can choose a perpetual license, with nothing more to buy ever. Annual licenses are also available.Stata 12 adds many new features such as structural equation modeling (SEM), contrasts, ARFIMA, business calendars, chained equations for multiple imputation, contour plots, automatic memory management, importing and exporting of Excel files, and more. (Source:

References in zbMATH (referenced in 151 articles , 1 standard article )

Showing results 1 to 20 of 151.
Sorted by year (citations)

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  1. Manly, Bryan F. J.; Navarro Alberto, Jorge A.: Multivariate statistical methods. A primer (2017)
  2. Acock, Alan C.: A gentle introduction to Stata (2016)
  3. Bartolucci, Francesco; Bacci, Silvia; Gnaldi, Michela: Statistical analysis of questionnaires. A unified approach based on R and Stata (2016)
  4. Bertanha, Marinho; Moser, Petra: Spatial errors in count data regressions (2016)
  5. Fullerton, Andrew S.; Xu, Jun: Ordered regression models. Parallel, partial, and non-parallel alternatives (2016)
  6. Giannelli, Gianna Claudia; Rapallini, Chiara: Immigrant student performance in math: does it matter where you come from? (2016)
  7. Hilbe, Joseph M.: Practical guide to logistic regression (2016)
  8. Öllerer, Viktoria; Alfons, Andreas; Croux, Christophe: The shooting S-estimator for robust regression (2016)
  9. Weinberg, Sharon Lawner; Abramowitz, Sarah Knapp: Statistics using Stata. An integrative approach (2016)
  10. Baltagi, Badi H.: Solutions manual for \itEconometrics (2015)
  11. da Silva e Souza, Geraldo; Gomes, Eliane Gonçalves: Management of agricultural research centers in Brazil: a DEA application using a dynamic GMM approach (2015)
  12. Hao, Li; Houser, Daniel: Adaptive procedures for the Wilcoxon-Mann-Whitney test: seven decades of advances (2015)
  13. Pérez López, César: Dynamic econometrics models with SAS, Stata, and EViews (to appear) (2015)
  14. Schenke, Katerina; Lam, Arena C.; Conley, AnneMarie M.; Karabenick, Stuart A.: Adolescents’ help seeking in mathematics classrooms: relations between achievement and perceived classroom environmental influences over one school year (2015)
  15. Simzar, Rahila M.; Martinez, Marcela; Rutherford, Teomara; Domina, Thurston; Conley, AnneMarie M.: Raising the stakes: how students’ motivation for mathematics associates with high- and low-stakes test achievement (2015)
  16. West, Brady T.; Welch, Kathleen B.; Gałecki, Andrzej T.: Linear mixed models. A practical guide using statistical software. With contributions from Brenda W. Gillespie (2015)
  17. Acock, Alan C.: A gentle introduction to Stata (2014)
  18. Bazán, Jorge L.; Romeo, José S.; Rodrigues, Josemar: Bayesian skew-probit regression for binary response data (2014)
  19. Bollen, Kenneth A.; Kolenikov, Stanislav; Bauldry, Shawn: Model-implied instrumental variable-generalized method of moments (MIIV-GMM) estimators for latent variable models (2014)
  20. Campbell, Michael J.; Walters, Stephen J.: How to design, analyse and report cluster randomised trials in medicine and health related research. Statistics in practice (2014)

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