References in zbMATH (referenced in 39 articles , 1 standard article )

Showing results 1 to 20 of 39.
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  1. Bradley C. Saul, Michael G. Hudgens: The Calculus of M-Estimation in R with geex (2020) not zbMATH
  2. Pavlič, Klemen; Martinussen, Torben; Andersen, Per Kragh: Goodness of fit tests for estimating equations based on pseudo-observations (2019)
  3. Saul, Bradley C.; Hudgens, Michael G.; Mallin, Michael A.: Downstream effects of upstream causes (2019)
  4. Marchese, Scott; Diao, Guoqing: Joint regression analysis of mixed-type outcome data via efficient scores (2018)
  5. Wagner Bonat: Multiple Response Variables Regression Models in R: The mcglm Package (2018) not zbMATH
  6. Worku, Hailemichael M.; de Rooij, Mark: A multivariate logistic distance model for the analysis of multiple binary responses (2018)
  7. 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)
  8. Geronimi, J.; Saporta, G.: Variable selection for multiply-imputed data with penalized generalized estimating equations (2017)
  9. Guido Masarotto and Cristiano Varin: Gaussian Copula Regression in R (2017) not zbMATH
  10. 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)
  11. Jianxin Pan, Yi Pan: jmcm: An R Package for Joint Mean-Covariance Modeling of Longitudinal Data (2017) not zbMATH
  12. Tutz, Gerhard; Schmid, Matthias: Modeling discrete time-to-event data (2016)
  13. Zetterqvist, Johan; Sjölander, Arvid: Doubly robust estimation with the R package \textttdrgee (2015)
  14. Anestis Touloumis: R Package multgee: A Generalized Estimating Equations Solver for Multinomial Responses (2014) arXiv
  15. Cabral, M. Salomé; Gonçalves, M. Helena: A simulation study to assess statistical approaches for longitudinal count data (2014)
  16. Chiou, Sy Han; Kang, Sangwook; Kim, Junghi; Yan, Jun: Marginal semiparametric multivariate accelerated failure time model with generalized estimating equations (2014)
  17. Nooraee, Nazanin; Molenberghs, Geert; van den Heuvel, Edwin R.: GEE for longitudinal ordinal data: comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN (2014)
  18. Prates, Marcos O.; Costa, Denise R.; Lachos, Victor H.: Generalized linear mixed models for correlated binary data with (t)-link (2014)
  19. Rao, Marepalli B. (ed.); Rao, C. R. (ed.): Computational statistics with R (2014)
  20. Sy Chiou; Sangwook Kang; Jun Yan: Fitting Accelerated Failure Time Models in Routine Survival Analysis with R Package aftgee (2014) not zbMATH

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