References in zbMATH (referenced in 19 articles , 1 standard article )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Gardiner, Joseph C.: Restricted mean survival time estimation: nonparametric and regression methods (2021)
  2. Kawakami, Ryo; Michimae, Hirofumi; Lin, Yuan-Hsin: Assessing the numerical integration of dynamic prediction formulas using the exact expressions under the joint frailty-copula model (2021)
  3. Kulinskaya, Elena; Gitsels, Lisanne Andra; Bakbergenuly, Ilyas; Wright, Nigel R.: Dynamic hazards modelling for predictive longevity risk assessment (2021)
  4. Kvamme, Håvard; Borgan, Ørnulf: Continuous and discrete-time survival prediction with neural networks (2021)
  5. van Geloven, N.; He, Y.; Zwinderman, A. H.; Putter, H.: Estimation of incident dynamic AUC in practice (2021)
  6. Zheng, Yu; Lu, Tian; Cai, Tianxi: Efficient and robust estimation of (\tau)-year risk prediction models leveraging time varying intermediate outcomes (2021)
  7. Nikooienejad, Amir; Wang, Wenyi; Johnson, Valen E.: Bayesian variable selection for survival data using inverse moment priors (2020)
  8. Dempsey, Walter; McCullagh, Peter: Survival models and health sequences (2018)
  9. van Houwelingen, Hans C.: Commentary to: “Survival models and health sequences” (2018)
  10. Gerds, Thomas A.; Beyersmann, Jan; Starkopf, Liis; Frank, Sandra; Van der Laan, Mark J.; Schumacher, Martin: The Kaplan-Meier integral in the presence of covariates: a review (2017)
  11. Zhou, Yi; Zhu, Yanan; Leung, Siu-wai: PLS-frailty model for cancer survival analysis based on gene expression profiles (2016)
  12. Blanche, Paul; Proust-Lima, Cécile; Loubère, Lucie; Berr, Claudine; Dartigues, Jean-François; Jacqmin-Gadda, Hélène: Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks (2015)
  13. Elgmati, Entisar; Fiaccone, Rosemeire L.; Henderson, R.; Matthews, John N. S.: Penalised logistic regression and dynamic prediction for discrete-time recurrent event data (2015)
  14. Gellar, Jonathan E.; Colantuoni, Elizabeth; Needham, Dale M.; Crainiceanu, Ciprian M.: Cox regression models with functional covariates for survival data (2015)
  15. van Houwelingen, Hans C.; Putter, Hein: Comparison of stopped Cox regression with direct methods such as pseudo-values and binomial regression (2015)
  16. Choi, Jiin; Anderson, Stewart J.; Richards, Thomas J.; Thompson, Wesley K.: Prediction of transplant-free survival in idiopathic pulmonary fibrosis patients using joint models for event times and mixed multivariate longitudinal data (2014)
  17. Li, Liang; Hu, Bo; Kattan, Michael W.: Modeling potential time to event data with competing risks (2014)
  18. Nicolaie, M. A.; van Houwelingen, J. C.; de Witte, T. M.; Putter, H.: Dynamic pseudo-observations: A robust approach to dynamic prediction in competing risks (2013)
  19. van Houwelingen, Hans; Putter, Hein: Dynamic prediction in clinical survival analysis (2012)