![A statistical comparison of survival and replacement analyses for the use of censored data in a contaminant air database: A case study from the ... [An article from: Atmospheric Environment]](https://www.ebooknetworking.net/books/B00/0PA/bigB000PAUBEU.jpg)
A statistical comparison of survival and replacement analyses for the use of censored data in a contaminant air database: A case study from the ... [An article from: Atmospheric Environment]
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Description:
The data sets of four semi-volatile organic compounds (phenanthrene, PCB-28, p,p^'-DDE and @a-endosulfan) from a multi-year Canadian Arctic air monitoring programme were examined to test the effect of both including and removing censored data (i.e. data that fall below analytical detection limits) on time-trend models. Two approaches were taken with the data, one that included all censored values, known as a survival analysis, and the other with censored values replaced with a fixed constant, referred to here as a replacement analysis. Initially, the results from the time-trend models (depicting seasonality and year-on-year trends) from the two analyses, where replacement involved a small amount of data that fell below instrumental detection limits, showed very few differences. This was effectively due to the small quantity of censoring apparent in each of the data sets (the data sets of 2 compounds had
Description:
The data sets of four semi-volatile organic compounds (phenanthrene, PCB-28, p,p^'-DDE and @a-endosulfan) from a multi-year Canadian Arctic air monitoring programme were examined to test the effect of both including and removing censored data (i.e. data that fall below analytical detection limits) on time-trend models. Two approaches were taken with the data, one that included all censored values, known as a survival analysis, and the other with censored values replaced with a fixed constant, referred to here as a replacement analysis. Initially, the results from the time-trend models (depicting seasonality and year-on-year trends) from the two analyses, where replacement involved a small amount of data that fell below instrumental detection limits, showed very few differences. This was effectively due to the small quantity of censoring apparent in each of the data sets (the data sets of 2 compounds had
