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 837 articles , 1 standard article )

Showing results 1 to 20 of 837.
Sorted by year (citations)

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  1. Matias D. Cattaneo, Michael Jansson, Xinwei Ma: lpdensity: Local Polynomial Density Estimation and Inference (2022) not zbMATH
  2. Rabe-Hesketh, Sophia; Skrondal, Anders: Multilevel and longitudinal modeling using Stata. Volume I. Continuous responses (2022)
  3. Tübbicke, Stefan: Entropy balancing for continuous treatments (2022)
  4. Baltagi, Badi H.: Econometric analysis of panel data (2021)
  5. Baum, Christopher F.; Hurn, Stan: Environmental econometrics using Stata (2021)
  6. Benjamin Christoffersen: dynamichazard: Dynamic Hazard Models Using State Space Models (2021) not zbMATH
  7. Böhning, Dankmar; Martin, Susan; Sangnawakij, Patarawan; Jansen, Katrin; Böhning, Walailuck; Holling, Heinz: Nonparametric estimation of effect heterogeneity in rare events meta-analysis: bivariate, discrete mixture model (2021)
  8. Böhning, Dankmar; Sangnawakij, Patarawan: Count outcome meta-analysis for comparing treatments by fusing mixed data sources: comparing interventions using across report information (2021)
  9. Chen, Ding-Geng (Din); Peace, Karl E.: Applied meta-analysis with R and Stata (2021)
  10. Demetrescu, Matei; Leppin, Julian S.; Reitz, Stefan: Homogeneous vs. heterogeneous transition functions in panel smooth transition regressions (2021)
  11. Erler, N. S., Rizopoulos, D., Lesaffre, E. M. E. H.: JointAI: Joint Analysis and Imputation of Incomplete Data in R (2021) not zbMATH
  12. Giovanni Cerulli: Machine Learning using Stata/Python (2021) arXiv
  13. Guo, Guangbao: Taylor quasi-likelihood for limited generalized linear models (2021)
  14. Handel, Danielle V.; Ho, Anson T. Y.; Huynh, Kim P.; Jacho-Chávez, David T.; Rea, Carson H.: Econometrics pedagogy and cloud computing: training the next generation of economists and data scientists (2021)
  15. Javadi, Sara; Bahrampour, Abbas; Saber, Mohammad Mehdi; Garrusi, Behshid; Baneshi, Mohammad Reza: Evaluation of four multiple imputation methods for handling missing binary outcome data in the presence of an interaction between a dummy and a continuous variable (2021)
  16. Khalaf, Lynda; Kichian, Maral; Saunders, Charles J.; Voia, Marcel: Dynamic panels with MIDAS covariates: nonlinearity, estimation and fit (2021)
  17. Kuha, Jouni; Bukodi, Erzsébet; Goldthorpe, John H.: Mediation analysis for associations of categorical variables: the role of education in social class mobility in Britain (2021)
  18. Linda Nab, Maarten van Smeden, Ruth H. Keogh, Rolf H.H. Groenwold: mecor: An R package for measurement error correction in linear regression models with a continuous outcome (2021) arXiv
  19. Liu, Xinpeng; Yang, Xianqiang; Yu, Miao: Identification of switched FIR systems with random missing outputs: a variational Bayesian approach (2021)
  20. Mehmetoglu, Mehmet; Venturini, Sergio: Structural equation modelling with partial least squares using Stata and R (2021)

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