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[02420] Nonparametric Bivariate Density Estimation for Missing Censored Lifetimes

  • Session Time & Room : 3E (Aug.23, 17:40-19:20) @E504
  • Type : Contributed Talk
  • Abstract : Estimation of the joint density of two censored lifetimes is a classical problem in survival analysis, but only recently the theory and methodology of efficient nonparametric estimation have been developed. A familiar complication in survival analysis is that in real data censored lifetimes and indicators of censoring may be missing. For the model of missing completely at random, an efficient bivariate density estimator is proposed, and a practical example is presented.
  • Classification : 62N02, 62G05, 62G07, Missing data, survival analysis and censoring, nonparametric estimation
  • Format : Online Talk on Zoom
  • Author(s) :
    • Lirit Fuksman (The University of Texas at Dallas)