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IC‐04‐04: Optimizing PiB‐PET change‐over‐time measurement by analysis of longitudinal reliability, plausibility, and separability
Author(s) -
Schwarz Christopher G.,
Senjem Matthew L.,
Gunter Jeffrey L.,
Tosakulwong Nirubol,
Przybelski Scott A.,
Weigand Stephen D.,
Spychalla Anthony J.,
Vemuri Prashanthi,
Petersen Ronald C.,
Lowe Val J.,
Jack Clifford R.
Publication year - 2015
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2015.06.018
Subject(s) - reproducibility , nuclear medicine , standardized uptake value , reliability (semiconductor) , comparability , segmentation , statistics , gray (unit) , mathematics , medicine , pattern recognition (psychology) , positron emission tomography , computer science , artificial intelligence , physics , power (physics) , quantum mechanics , combinatorics
unpenalized stepwise regression when number of parameters approached or exceeded the number of training cases. Partial volume correction had a negative effect on the predictive performance of AV45-PET, but slightly improved the predictive value of FDG-PET data. Conclusions: Penalized regression yielded more parsimonious models than unpenalized stepwise regression for the integration of multiregional and multimodal imaging information. The advantage of penalized regression was particularly strong with a high number of collinear predictors.