A statistical model for removing inter-device differences in spectroscopy.
We are investigating spectroscopic devices designed to make in vivo cervical tissue measurements to detect pre-cancerous and cancerous lesions. All devices have the same design and ideally should record identical measurements. However, we observed consistent differences among them. An experiment was designed to study the sources of variation in the measurements recorded. Here we present a log additive statistical model that incorporates the sources of variability we identified. Based on this model, we estimated correction factors from the experimental data needed to eliminate the inter-device variability and other sources of variation. These correction factors are intended to improve the accuracy and repeatability of such devices when making future measurements on patient tissue.
Lu
L
Wang
Jong Soo
JS
Lee
Pierre
P
Lane
E Neely
EN
Atkinson
Andres
A
Zuluaga
Michele
M
Follen
Calum
C
MacAulay
Dennis D
DD
Cox
D005260:Female; D006801:Humans; D015233:Models, Statistical; D013050:Spectrometry, Fluorescence / Q000379:methods*; D013057:Spectrum Analysis / Q000295:instrumentation*; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis*