Stata

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. http://www.stata-journal.com/archives/ (Source: http://mathres.kevius.com/software.html)


References in zbMATH (referenced in 321 articles , 1 standard article )

Showing results 1 to 20 of 321.
Sorted by year (citations)

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  1. Bacon, Philomena M.; Conte, Anna; Moffatt, Peter G.: A test of risk vulnerability in the wider population (2020)
  2. Balk, Bert M.; Barbero, Javier; Zofío, José L.: A toolbox for calculating and decomposing total factor productivity indices (2020)
  3. Cho, Sun-Joo; Brown-Schmidt, Sarah; De Boeck, Paul; Shen, Jianhong: Modeling intensive polytomous time-series eye-tracking data: a dynamic tree-based item response model (2020)
  4. Cong Xu, Pantelis Z. Hadjipantelis, Jane-Ling Wang: Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM (2020) not zbMATH
  5. Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan S. Small: ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable (2020) arXiv
  6. Joss Roßmann, Tobias Gummer, Lars Kaczmirek: Working with User Agent Strings in Stata: The parseuas Command (2020) not zbMATH
  7. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  8. Papadogeorgou, Georgia; Dominici, Francesca: A causal exposure response function with local adjustment for confounding: estimating health effects of exposure to low levels of ambient fine particulate matter (2020)
  9. Rainer Hirk, Kurt Hornik, Laura Vana: mvord: An R Package for Fitting Multivariate Ordinal Regression Models (2020) not zbMATH
  10. Salmerón-Gómez, Román; Rodríguez-Sánchez, Ainara; García-García, Catalina: Diagnosis and quantification of the non-essential collinearity (2020)
  11. Terza, Joseph V.: Regression-based causal analysis from the potential outcomes perspective (2020)
  12. Anne Petersen; Claus Ekstrøm: dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R (2019) not zbMATH
  13. Ann-Kristin Kreutzmann; Sören Pannier; Natalia Rojas-Perilla; Timo Schmid; Matthias Templ; Nikos Tzavidis: The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators (2019) not zbMATH
  14. Araar, Abdelkrim (ed.); Verme, Paolo (ed.): Prices and welfare. An introduction to the measurement of well-being when prices change (2019)
  15. Bottomley, Christian; Scott, J. Anthony G.; Isham, Valerie: Analysing interrupted time series with a control (2019)
  16. Cleff, Thomas: Applied statistics and multivariate data analysis for business and economics. A modern approach using SPSS, Stata, and Excel (2019)
  17. Daniel Sabanés Bové, Wai Yin Yeung, Giuseppe Palermo, Thomas Jaki: Model-Based Dose Escalation Designs in R with crmPack (2019) not zbMATH
  18. Das, Panchanan: Econometrics in theory and practice. Analysis of cross section, time series and panel data with Stata 15.1 (2019)
  19. Drton, Mathias; Fox, Christopher; Wang, Y. Samuel: Computation of maximum likelihood estimates in cyclic structural equation models (2019)
  20. Fuinhas, José Alberto (ed.); Marques, António Cardoso (ed.): The extended energy-growth nexus. Theory and empirical applications (2019)

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Further publications can be found at: http://www.stata-journal.com/archives/