SAS/STAT

SAS/STAT software, a component of the SAS System, provides comprehensive statistical tools for a wide range of statistical analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, and nonparametric analysis. A few examples include mixed models, generalized linear models, correspondence analysis, and structural equations.


References in zbMATH (referenced in 433 articles )

Showing results 1 to 20 of 433.
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  1. Fay, Michael P.; Hunsberger, Sally A.: Practical valid inferences for the two-sample binomial problem (2021)
  2. Hančová, Martina; Gajdoš, Andrej; Hanč, Jozef; Vozáriková, Gabriela: Estimating variances in time series kriging using convex optimization and empirical BLUPs (2021)
  3. Messner, Wolfgang: Empirically assessing noisy necessary conditions with activation functions (2021)
  4. Michael J. Wurm, Paul J. Rathouz, Bret M. Hanlon: Regularized Ordinal Regression and the ordinalNet R Package (2021) not zbMATH
  5. Opheim, Timothy; Roy, Anuradha: Linear models for multivariate repeated measures data with block exchangeable covariance structure (2021)
  6. Zha, Ruochen; Harel, Ofer: Power calculation in multiply imputed data (2021)
  7. Baena-Mirabete, S.; Espinal, Anna; Puig, Pedro: Exploring the randomness of mentally generated head-tail sequences (2020)
  8. Komaroff, Eugene: Relationships between (p)-values and Pearson correlation coefficients, type 1 errors and effect size errors, under a true null hypothesis (2020)
  9. Lipsitz, Stuart R.; Fitzmaurice, Garrett M.; Weiss, Roger D.: Using multiple imputation with GEE with non-monotone missing longitudinal binary outcomes (2020)
  10. Lyles, Robert H.; Weiss, Paul; Waller, Lance A.: Calibrated Bayesian credible intervals for binomial proportions (2020)
  11. Mazucheli, J.; Menezes, A. F. B.; Fernandes, L. B.; de Oliveira, R. P.; Ghitany, M. E.: The unit-Weibull distribution as an alternative to the Kumaraswamy distribution for the modeling of quantiles conditional on covariates (2020)
  12. Rainer Hirk, Kurt Hornik, Laura Vana: mvord: An R Package for Fitting Multivariate Ordinal Regression Models (2020) not zbMATH
  13. van Meegen, Carmen; Schnackenberg, Sarah; Ligges, Uwe: Unequal priors in linear discriminant analysis (2020)
  14. Vo-Thanh, Nha; Piepho, Hans-Peter: Augmented quasi-sudoku designs in field trials (2020)
  15. Alnosaier, Waseem; Birkes, David: Inner workings of the Kenward-Roger test (2019)
  16. Daniel Sabanés Bové, Wai Yin Yeung, Giuseppe Palermo, Thomas Jaki: Model-Based Dose Escalation Designs in R with crmPack (2019) not zbMATH
  17. Inan, Gul; Latif, Mahbub A. H. M.; Preisser, John: A PRESS statistic for working correlation structure selection in generalized estimating equations (2019)
  18. Lohr, Sharon L.: Sampling. Design and analysis (2019)
  19. Mazucheli, Josmar; Menezes, André Felipe Berdusco; Chakraborty, Subrata: On the one parameter unit-Lindley distribution and its associated regression model for proportion data (2019)
  20. Meulman, Jacqueline J.; van der Kooij, Anita J.; Duisters, Kevin L. W.: ROS regression: integrating regularization with optimal scaling regression (2019)

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