Journal of Biometrics & Biostatistics

Han Zhu1

Publications

• Research Article
  Adaptive Robust Estimators to Handle Missing Values in Estimati ng Tumor Stage Distributions in Population-Based Cancer Registrati on
  Author(s): Qingzhao Yu, Han Zhu1 and Xiaocheng WuQingzhao Yu, Han Zhu1 and Xiaocheng Wu
  
  Accurate cancer stage at diagnosis is essential not only for assessing quality of care and associated prognosis but also for monitoring trends in cancer stages and for assessing effectiveness of early detection interventions. Because the cancer stage is associated with many factors that are not under control of cancer registries, it is infeasible to completely record stages in all cases from registry database. It is necessary to reduce the bias in stage analysis induced by unknown stage cases through statistical adjustment. In this paper, we propose a new adaptive robust method that estimates the distribution of unknown stage cases using both essential and nonessential predictors of cancer stage. Multiple additive regression trees were used to assess the association of explanatory variables (including patient demographics, tumor characteristics, and treatment) with unknown stage. The .. Read More»
  DOI: 10.4172/2155-6180.1000243

  Abstract PDF