References in zbMATH (referenced in 1160 articles , 2 standard articles )

Showing results 1 to 20 of 1160.
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  1. Djeundje, Viani Biatat; Crook, Jonathan: Dynamic survival models with varying coefficients for credit risks. (2019)
  2. Bergtold, Jason S.; Pokharel, Krishna P.; Featherstone, Allen M.; Mo, Lijia: On the examination of the reliability of statistical software for estimating regression models with discrete dependent variables (2018)
  3. Chanialidis, Charalampos; Evers, Ludger; Neocleous, Tereza; Nobile, Agostino: Efficient Bayesian inference for COM-Poisson regression models (2018)
  4. Chan, Priscilla H.; Xu, Ronghui; Chambers, Christina D.: A study of $R^2$ measure under the accelerated failure time models (2018)
  5. Chow, Sy-Miin; Ou, Lu; Ciptadi, Arridhana; Prince, Emily B.; You, Dongjun; Hunter, Michael D.; Rehg, James M.; Rozga, Agata; Messinger, Daniel S.: Representing sudden shifts in intensive dyadic interaction data using differential equation models with regime switching (2018)
  6. Daniela Dunkler; Meinhard Ploner; Michael Schemper; Georg Heinze: Weighted Cox Regression Using the R Package coxphw (2018) not zbMATH
  7. Delia Voronca; Mulugeta Gebregziabher; Valerie Durkalski-Mauldin; Lei Liu; Leonard Egede: MTPmle: A SAS Macro and Stata Programs for Marginalized Inference in Semi-Continuous Data (2018) not zbMATH
  8. Efromovich, Sam: Missing and modified data in nonparametric estimation: with R examples (2018)
  9. Heinze, Georg; Wallisch, Christine; Dunkler, Daniela: Variable selection -- a review and recommendations for the practicing statistician (2018)
  10. Higueras, Manuel; Howes, Adam: Poisson excess relative risk models: new implementations and software (2018)
  11. Jing Zhao; Jian’an Luan; Peter Congdon: Bayesian Linear Mixed Models with Polygenic Effects (2018) not zbMATH
  12. Katz, Daniel S.; Chue Hong, Neil P.: Software citation in theory and practice (2018)
  13. Kaya Bahçecitapar, Melike: Some factors affecting statistical power of approximate tests in the linear mixed model for longitudinal data (2018)
  14. Krämer, Walter; Schoffer, Olaf; Tschiersch, Lars; Gerß, Joachim: Data analysis with SAS. Statistical methods and their graphical aspects (2018)
  15. Li, Liang; Wu, Chih-Hsien; Ning, Jing; Huang, Xuelin; Shih, Ya-Chen Tina; Shen, Yu: Semiparametric estimation of longitudinal medical cost trajectory (2018)
  16. Mair, Patrick: Modern psychometrics with R (2018)
  17. Marasinghe, Mervyn G.; Koehler, Kenneth J.: Statistical data analysis using SAS. Intermediate statistical methods (2018)
  18. Marco Villegas; Diego Pedregal: SSpace: A Toolbox for State Space Modeling (2018) not zbMATH
  19. Mark Donoghoe; Ian Marschner: logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model (2018) not zbMATH
  20. Ma, Zhihua; Chen, Guanghui: Bayesian methods for dealing with missing data problems (2018)

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