title: [Regression on order statistics and its application in estimating nondetects for food exposure assessment].
abstract: OBJECTIVE
  To explore the application of regression on order statistics (ROS) in estimating nondetects for food exposure assessment.
  
  
  METHODS
  Regression on order statistics was adopted in analysis of cadmium residual data set from global food contaminant monitoring, the mean residual was estimated basing SAS programming and compared with the results from substitution methods.
  
  
  RESULTS
  The results show that ROS method performs better obviously than substitution methods for being robust and convenient for posterior analysis.
  
  
  CONCLUSIONS
  Regression on order statistics is worth to adopt,but more efforts should be make for details of application of this method.
authors.affiliation: School of Public Health,Southeast University, Nanjing 210009, China. xiaojin71@sohu.com
authors.forename: Xiaojin
authors.initials: X
authors.lastname: Yu
authors.forename: Pei
authors.initials: P
authors.lastname: Liu
authors.forename: Jie
authors.initials: J
authors.lastname: Min
authors.forename: Qiguang
authors.initials: Q
authors.lastname: Chen
mesh_terms: D000818:Animals; D002104:Cadmium / Q000032:analysis*; D003627:Data Interpretation, Statistical; D004781:Environmental Exposure / Q000032:analysis*; D005399:Fishes; D005504:Food Analysis; D005506:Food Contamination / Q000032:analysis*; D006801:Humans; D012044:Regression Analysis; D013223:Statistics as Topic / Q000379:methods*
chemical_list: D002104:Cadmium