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Seminars

Sampling Bias and Statistical Inference for Right-censored Data

  • 2013-06-24 (Mon.), 10:00 AM
  • Recreation Hall, 2F, Institute of Statistical Science
  • Professor Yu Shen
  • (Dept. of Biostatistics, M. D. Anderson Cancer Center, The Univ. of Texas, Houston, USA)

Abstract

Due to the biased sampling scheme in prevalent cohort studies, independent censoring assumption is often violated. Although the issues about biased inference caused by length-biased sampling have been widely recognized in statistical, epidemiological and economical literature, there is no satisfactory solution for statistical inference on length-biased right-censored data in semiparametric models. We propose the full likelihood and estimating equation approaches for commonly used semiparametric models for length-biased data. We conduct extensive Monte Carlo simulations to evaluate the performance of the proposed methods and illustrate the methods using real data example. ??

Update:2024-12-03 19:34
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