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

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

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  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)

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