SAS

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

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 1358 articles , 2 standard articles )

Showing results 1 to 20 of 1358.
Sorted by year (citations)

1 2 3 ... 66 67 68 next

  1. Bailer, A. John: Statistical programming in SAS (2020)
  2. Cong Xu, Pantelis Z. Hadjipantelis, Jane-Ling Wang: Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM (2020) not zbMATH
  3. Duarte, Belmiro P. M.; Granjo, José F. O.; Wong, Weng Kee: Optimal exact designs of experiments via mixed integer nonlinear programming (2020)
  4. 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)
  5. Jan Górecki, Marius Hofert, Martin Holeňa: Hierarchical Archimedean Copulas for MATLAB and Octave: The HACopula Toolbox (2020) not zbMATH
  6. Jordan H Creed; Travis A Gerke; Anders E Berglund: MatSurv: Survival analysis and visualization in MATLAB (2020) not zbMATH
  7. Liu, Timina; Liu, Shuangzhe; Shi, Lei: Time series analysis using SAS enterprise guide (2020)
  8. Lyles, Robert H.; Weiss, Paul; Waller, Lance A.: Calibrated Bayesian credible intervals for binomial proportions (2020)
  9. Alnosaier, Waseem; Birkes, David: Inner workings of the Kenward-Roger test (2019)
  10. 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
  11. Brunner, Edgar; Bathke, Arne C.; Konietschke, Frank: Rank and pseudo-rank procedures for independent observations in factorial designs. Using R and SAS (2019)
  12. Chang, Mark; Balser, John; Roach, Jim; Bliss, Robin: Innovative strategies, statistical solutions and simulations for modern clinical trials (2019)
  13. Christine Harvey; R. S. Weigel: Transplant2Mongo: Python Scripts that Insert Organ Procurement and Transplantation Network (OPTN) Data in MongoDB (2019) not zbMATH
  14. Daimon, Takashi; Hirakawa, Akihiro; Matsui, Shigeyuki: Dose-finding designs for early-phase cancer clinical trials. A brief guidebook to theory and practice (2019)
  15. David Smith; Malcolm Faddy: Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data (2019) not zbMATH
  16. Devaud, Denis; Tillé, Yves: Deville and Särndal’s calibration: revisiting a 25-years-old successful optimization problem (2019)
  17. Djeundje, Viani Biatat; Crook, Jonathan: Dynamic survival models with varying coefficients for credit risks. (2019)
  18. Forkman, Johannes; Josse, Julie; Piepho, Hans-Peter: Hypothesis tests for principal component analysis when variables are standardized (2019)
  19. Grandhi, Anjana; Guo, Wenge; Romano, Joseph P.: Control of directional errors in fixed sequence multiple testing (2019)
  20. Härdle, Wolfgang Karl; Simar, Léopold: Applied multivariate statistical analysis (2019)

1 2 3 ... 66 67 68 next


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