References in zbMATH (referenced in 46 articles , 1 standard article )

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  1. Hector, Emily C.; Song, Peter X.-K.: A distributed and integrated method of moments for high-dimensional correlated data analysis (2021)
  2. Huang, Youjun; Pan, Jianxin: Joint generalized estimating equations for longitudinal binary data (2021)
  3. M. Helena Gonçalves, M. Salomé Cabral: cold: An R Package for the Analysis of Count Longitudinal Data (2021) not zbMATH
  4. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2021)
  5. Achim Zeileis, Susanne Köll, Nathaniel Graham: Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020) not zbMATH
  6. Bradley C. Saul, Michael G. Hudgens: The Calculus of M-Estimation in R with geex (2020) not zbMATH
  7. Hector, Emily C.; Song, Peter X.-K.: Doubly distributed supervised learning and inference with high-dimensional correlated outcomes (2020)
  8. Tracie L. Shing, John S. Preisser, Richard C. Zink: GEECORR: A SAS macro for regression models of correlated binary responses and within-cluster correlation using generalized estimating equations (2020) arXiv
  9. Pavlič, Klemen; Martinussen, Torben; Andersen, Per Kragh: Goodness of fit tests for estimating equations based on pseudo-observations (2019)
  10. Saul, Bradley C.; Hudgens, Michael G.; Mallin, Michael A.: Downstream effects of upstream causes (2019)
  11. Marchese, Scott; Diao, Guoqing: Joint regression analysis of mixed-type outcome data via efficient scores (2018)
  12. Wagner Bonat: Multiple Response Variables Regression Models in R: The mcglm Package (2018) not zbMATH
  13. Worku, Hailemichael M.; de Rooij, Mark: A multivariate logistic distance model for the analysis of multiple binary responses (2018)
  14. Bonat, W. H.; Olivero, J.; Grande-Vega, M.; Farfán, M. A.; Fa, J. E.: Modelling the covariance structure in marginal multivariate count models: hunting in Bioko Island (2017)
  15. Geronimi, J.; Saporta, G.: Variable selection for multiply-imputed data with penalized generalized estimating equations (2017)
  16. Guido Masarotto and Cristiano Varin: Gaussian Copula Regression in R (2017) not zbMATH
  17. Janani, Leila; Mansournia, Mohammad Ali; Mohammad, Kazem; Mahmoodi, Mahmood; Mehrabani, Kamran; Nourijelyani, Keramat: Comparison between Bayesian approach and frequentist methods for estimating relative risk in randomized controlled trials: a simulation study (2017)
  18. Jianxin Pan, Yi Pan: jmcm: An R Package for Joint Mean-Covariance Modeling of Longitudinal Data (2017) not zbMATH
  19. Tutz, Gerhard; Schmid, Matthias: Modeling discrete time-to-event data (2016)
  20. Zetterqvist, Johan; Sjölander, Arvid: Doubly robust estimation with the R package \textttdrgee (2015)

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