UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Recognition Memory Deficits in Alzheimer's Disease: Modeling Clinical Groups and Individual Patients Recognition Memory Deficits in Alzheimer's Disease: Modeling Clinical Groups and Individual Patients

Michael Lee, James Pooley, William Shankle, James Pooley, Michael Lee, William Shankle
2009 Proceedings of the Annual Meeting of the Cognitive Science Society   unpublished
Recognition memory tests are useful for understanding Alzheimer's disease (AD). In the clinical context, it is important to model performance at both the group level (e.g., for the characterization of clinical subpopulations) and individual level (e.g., for the diagnosis of a patient). Using a clinical data set from AD patients, we show how a signal detection theory model that assumes hierarchical individual differences in discriminability and response bias adequately describes these data at
more » ... es these data at both the group and individual levels, and also present preliminary descriptive and predictive analyses of the data at both levels.
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