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 1463 articles , 2 standard articles )

Showing results 1 to 20 of 1463.
Sorted by year (citations)

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  1. Gibbons, Jean Dickinson; Chakraborti, Subhabrata: Nonparametric statistical inference (to appear) (2021)
  2. Kolosova, Tanya; Berestizhevsky, Samuel: Supervised machine learning. Optimization framework and applications with SAS and R (2021)
  3. Bailer, A. John: Statistical programming in SAS (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. Duarte, Belmiro P. M.; Granjo, José F. O.; Wong, Weng Kee: Optimal exact designs of experiments via mixed integer nonlinear programming (2020)
  6. Flórez, Alvaro Jóse; Alonso Abad, Ariel; Molenberghs, Geert; Van Der Elst, Wim: Generating random correlation matrices with fixed values: an application to the evaluation of multivariate surrogate endpoints (2020)
  7. Gianluca Baio: survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling (2020) not zbMATH
  8. Jan Górecki, Marius Hofert, Martin Holeňa: Hierarchical Archimedean Copulas for MATLAB and Octave: The HACopula Toolbox (2020) not zbMATH
  9. Jiachen Chen, Xin Zhou, Fan Li, Donna Spiegelman: swdpwr: A SAS Macro and An R Package for Power Calculation in Stepped Wedge Cluster Randomized Trials (2020) arXiv
  10. Jordan H Creed; Travis A Gerke; Anders E Berglund: MatSurv: Survival analysis and visualization in MATLAB (2020) not zbMATH
  11. Liu, Timina; Liu, Shuangzhe; Shi, Lei: Time series analysis using SAS enterprise guide (2020)
  12. Lyles, Robert H.; Weiss, Paul; Waller, Lance A.: Calibrated Bayesian credible intervals for binomial proportions (2020)
  13. Matthias Speidel, Jörg Drechsler, Shahab Jolani: The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond (2020) not zbMATH
  14. Morris, Darcy Steeg; Raim, Andrew M.; Sellers, Kimberly F.: A Conway-Maxwell-multinomial distribution for flexible modeling of clustered categorical data (2020)
  15. Paige Fisher; Wentao Cao; Qingzhao Yu: Using SAS Macros for Multiple Mediation Analysis in R (2020) not zbMATH
  16. Palacios-González, Federico; García-Fernández, Rosa M.: A faster algorithm to estimate multiresolution densities (2020)
  17. Shieh, Gwowen: Power analysis and sample size planning in ANCOVA designs (2020)
  18. Wilson, Jeffrey R.; Vazquez-Arreola, Elsa; Chen, Ding-Geng: Marginal models in analysis of correlated binary data with time dependent covariates (2020)
  19. Alnosaier, Waseem; Birkes, David: Inner workings of the Kenward-Roger test (2019)
  20. 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

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