Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7562232 | Chemometrics and Intelligent Laboratory Systems | 2018 | 7 Pages |
Abstract
We propose to alleviate residual bias by considering a weighted average of the filtered and raw data. This way, a compromise is found between excluding irrelevant natural variation from the data and the amount of residual bias that occurs. We show for simulated and real-world examples that this compromise may outperform inspection of the raw or filtered data. The method holds promise in numerous applications such as disease diagnoses, personalized healthcare, and industrial process control.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Mike Koeman, Jasper Engel, Jeroen Jansen, Lutgarde Buydens,