References in zbMATH (referenced in 1147 articles , 2 standard articles )

Showing results 1 to 20 of 1147.
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  1. 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)
  2. Chanialidis, Charalampos; Evers, Ludger; Neocleous, Tereza; Nobile, Agostino: Efficient Bayesian inference for COM-Poisson regression models (2018)
  3. Chan, Priscilla H.; Xu, Ronghui; Chambers, Christina D.: A study of $R^2$ measure under the accelerated failure time models (2018)
  4. 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)
  5. Daniela Dunkler; Meinhard Ploner; Michael Schemper; Georg Heinze: Weighted Cox Regression Using the R Package coxphw (2018)
  6. Efromovich, Sam: Missing and modified data in nonparametric estimation: with R examples (2018)
  7. Heinze, Georg; Wallisch, Christine; Dunkler, Daniela: Variable selection -- a review and recommendations for the practicing statistician (2018)
  8. Jing Zhao; Jian’an Luan; Peter Congdon: Bayesian Linear Mixed Models with Polygenic Effects (2018)
  9. Kaya Bahçecitapar, Melike: Some factors affecting statistical power of approximate tests in the linear mixed model for longitudinal data (2018)
  10. Krämer, Walter; Schoffer, Olaf; Tschiersch, Lars; Gerß, Joachim: Data analysis with SAS. Statistical methods and their graphical aspects (2018)
  11. Li, Liang; Wu, Chih-Hsien; Ning, Jing; Huang, Xuelin; Shih, Ya-Chen Tina; Shen, Yu: Semiparametric estimation of longitudinal medical cost trajectory (2018)
  12. Mair, Patrick: Modern psychometrics with R (2018)
  13. Marasinghe, Mervyn G.; Koehler, Kenneth J.: Statistical data analysis using SAS. Intermediate statistical methods (2018)
  14. Mark Donoghoe; Ian Marschner: logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model (2018)
  15. Ma, Zhihua; Chen, Guanghui: Bayesian methods for dealing with missing data problems (2018)
  16. Pazira, Hassan; Augugliaro, Luigi; Wit, Ernst: Extended differential geometric LARS for high-dimensional GLMs with general dispersion parameter (2018)
  17. Peng, Hua; Jeske, Daniel R.; SenGupta, Ashis; Yao, Weixin: Designing one-sided group sequential clinical trials to detect a mixture alternative (2018)
  18. Steffen, Kyle R.; Epshteyn, Yekaterina; Zhu, Jingyi; Bowler, Megan J.; Deming, Jody W.; Golden, Kenneth M.: Network modeling of fluid transport through sea ice with entrained exopolymeric substances (2018)
  19. Worku, Hailemichael M.; de Rooij, Mark: A multivariate logistic distance model for the analysis of multiple binary responses (2018)
  20. Wyszynski, Karol; Marra, Giampiero: Sample selection models for count data in R (2018)

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