SEMIPARAMETRIC TIME TO EVENT MODELS IN THE PRESENCE OF ERROR-PRONE, SELF-REPORTED OUTCOMES—WITH APPLICATION TO THE WOMEN’S HEALTH INITIATIVE()

Lignende værker

• Study design for non-recurring, time to event outcomes in the presence of error-prone diagnostic tests or self-reports
  af: GU, XIANGDONG, et al.
  Udgivet: (2016)
• Semiparametric Time-to-Event Modeling in the Presence of a Latent Progression Event
  af: Rice, John D., et al.
  Udgivet: (2016)
• Marginal structural models for the estimation of the risk of Diabetes Mellitus in the presence of elevated depressive symptoms and antidepressant medication use in the Women’s Health Initiative observational and clinical trial cohorts
  af: Frisard, Christine, et al.
  Udgivet: (2015)
• Estimating Risk with Time-to-Event Data: An Application to the Women’s Health Initiative
  af: Liu, Dandan, et al.
  Udgivet: (2014)
• Bayesian variable selection for high dimensional predictors and self-reported outcomes
  af: Gu, Xiangdong, et al.
  Udgivet: (2020)