Unknown

Dataset Information

0

Trend detection with non-detects in long-term monitoring, a mixed model approach.


ABSTRACT: In long-term monitoring of contaminants in biota, a common approach is to use yearly geometric means of measured concentrations in sampled individuals as a basis for trend analysis. When some or all measurements in a particular year are reported as non-detects, it is unclear how to proceed in calculating the yearly mean. I argue that by casting the problem in terms of a mixed model, non-detects can be accounted for using statistical techniques for censored data. The approach is illustrated using data from the Swedish national monitoring programme for contaminants in biota.

SUBMITTER: Skold M 

PROVIDER: S-EPMC10182149 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Trend detection with non-detects in long-term monitoring, a mixed model approach.

Sköld Martin M  

Environmental monitoring and assessment 20230512 6


In long-term monitoring of contaminants in biota, a common approach is to use yearly geometric means of measured concentrations in sampled individuals as a basis for trend analysis. When some or all measurements in a particular year are reported as non-detects, it is unclear how to proceed in calculating the yearly mean. I argue that by casting the problem in terms of a mixed model, non-detects can be accounted for using statistical techniques for censored data. The approach is illustrated using  ...[more]

Similar Datasets

| S-EPMC7713358 | biostudies-literature
| S-EPMC7280487 | biostudies-literature
| S-EPMC7920358 | biostudies-literature
| S-EPMC9562998 | biostudies-literature
| S-EPMC6527215 | biostudies-literature
| S-EPMC6573015 | biostudies-literature
| S-EPMC5848563 | biostudies-literature
| S-EPMC5561509 | biostudies-other
| S-EPMC9484702 | biostudies-literature
| S-EPMC3018475 | biostudies-literature