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Published on: October 11, 2018
[Application of multiple limits regression in dealing with nondetects with multiple limits of detect]
1School of Public Health, Southeast University, Nanjing 210009, China. xiaojin71@sohu.com
Objective:
To investigate the application of Multiple Limit Regression (MR), that is alternative to regression on order statistics, in imputing nondetacts below multiple detect limits.
Methods:
The Multiple limits regression method was used to dealing with the nondetects in cadmium residue in Fish food in 2004 from China markets; The nondetects are imputed with the predicted values based on MR; The results of estimates are compared with those from simple substitution methods. The analysis was performed using self compiled SAS macro code.
Results:
The mean estimated by MR methods is 0.01509 mg/kg, the means from substitution methods with 0, 1/2LOD and LOD are 0.014759, 0.015270, 0.015781 respectively.
Conclusion:
MR is a worthy recommendatory method in handling nondetects with multiple limits of detect for its rationality and can be completed conveniently by compiled SAS macro code.
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