SAS

SAS (Statistical Analysis System) is an integrated system of software products provided by SAS Institute Inc.

Keywords for this software

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References in zbMATH (referenced in 1243 articles , 2 standard articles )

Showing results 1 to 20 of 1243.
Sorted by year (citations)

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  1. 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
  2. Brunner, Edgar; Bathke, Arne C.; Konietschke, Frank: Rank and pseudo-rank procedures for independent observations in factorial designs. Using R and SAS (2019)
  3. Chang, Mark; Balser, John; Roach, Jim; Bliss, Robin: Innovative strategies, statistical solutions and simulations for modern clinical trials (2019)
  4. Christine Harvey; R. S. Weigel: Transplant2Mongo: Python Scripts that Insert Organ Procurement and Transplantation Network (OPTN) Data in MongoDB (2019) not zbMATH
  5. Daimon, Takashi; Hirakawa, Akihiro; Matsui, Shigeyuki: Dose-finding designs for early-phase cancer clinical trials. A brief guidebook to theory and practice (2019)
  6. David Smith; Malcolm Faddy: Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data (2019) not zbMATH
  7. Djeundje, Viani Biatat; Crook, Jonathan: Dynamic survival models with varying coefficients for credit risks. (2019)
  8. Härdle, Wolfgang Karl; Simar, Léopold: Applied multivariate statistical analysis (to appear) (2019)
  9. Korosteleva, Olga: Advanced regression models with SAS and R (2019)
  10. Lohr, Sharon L.: Sampling. Design and analysis (2019)
  11. Manju, Md Abu; Candel, Math J. J. M.; van Breukelen, Gerard J. P.: SamP2Cet: an interactive computer program for sample size and power calculation for two-level cost-effectiveness trials (2019)
  12. Paolella, Marc S.: Linear models and time-series analysis. Regression, ANOVA, ARMA and GARCH (2019)
  13. Powell, Christopher D.; López, Secundino; France, James: Elementary functions modified for seasonal effects to describe growth in freshwater fish (2019)
  14. Preisser, John S.; Inan, Gul; Powers, James M.; Chu, Haitao: A population-averaged approach to diagnostic test meta-analysis (2019)
  15. Shieh, Gwowen: Effect size, statistical power, and sample size for assessing interactions between categorical and continuous variables (2019)
  16. Theodor Balan; Hein Putter: frailtyEM: An R Package for Estimating Semiparametric Shared Frailty Models (2019) not zbMATH
  17. Thomas Jaki; Philip Pallmann; Dominic Magirr: The R Package MAMS for Designing Multi-Arm Multi-Stage Clinical Trials (2019) not zbMATH
  18. Xu, Shizhong: An alternative derivation of Harville’s restricted log likelihood function for variance component estimation (2019)
  19. Yiyun Shou and Michael Smithson: cdfquantreg: An R Package for CDF-Quantile Regression (2019) not zbMATH
  20. Agresti, Alan: An introduction to categorical data analysis (2018)

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Further publications can be found at: http://support.sas.com/resources/papers/index.html