000000721 001__ 721
000000721 005__ 20260107130752.0
000000721 0247_ $$2DOI$$a10.6083/M4FJ2DSD
000000721 037__ $$aETD
000000721 245__ $$aCensored data models for longitudinal neuropsychological score analysis
000000721 260__ $$bOregon Health and Science University
000000721 269__ $$a2011
000000721 336__ $$aThesis
000000721 502__ $$bM.S.
000000721 520__ $$aNeuropsychological tests are essential for assessing cognitive function, but floor and ceiling effects, summary score limitations, and longitudinal censoring reduce accuracy. This thesis applies censored normal (Type 1 Tobit) models to longitudinal data from the Boston Naming Test (ceiling effects) and Word List Delayed Recall (floor effects). Simulations show that ignoring these effects misestimates change points and population trends. Tobit models improved classification of Mild Cognitive Impairment and score prediction compared to standard models, with higher ROC values and lower mean squared error. Accounting for ceiling and floor effects enhances cognitive decline detection and supports earlier intervention strategies.
000000721 540__ $$fCC BY
000000721 542__ $$fIn copyright - single owner
000000721 650__ $$aNeuropsychological Tests$$022867
000000721 650__ $$aLongitudinal Studies$$021617
000000721 650__ $$aCognitive Dysfunction$$039814
000000721 6531_ $$amild cognitive impairment
000000721 6531_ $$alongitudinal method
000000721 691__ $$aSchool of Medicine$$041369
000000721 692__ $$aDepartment of Biomedical Engineering$$041397
000000721 7001_ $$aPerkins, Jedediah$$uOregon Health and Science University$$041354
000000721 7201_ $$aPavel, Misha$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000000721 8564_ $$9fa9e55da-ba7e-4f9c-b22c-41bb9ceea7c0$$s548294$$uhttps://digitalcollections.ohsu.edu/record/721/files/724_etd.pdf$$ePublic$$21df5ddab231456ac510ff4a758a2a0f2$$31
000000721 905__ $$a/rest/prod/zk/51/vg/82/zk51vg82g
000000721 909CO $$ooai:digitalcollections.ohsu.edu:721$$pstudent-work
000000721 980__ $$aTheses and Dissertations