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- W2483201898 abstract "The main goal of this contribution is to study the dependence among measures of spatial working memory and a set of clinical and neuropsychological variables from a statistical perspective. In particular, by employing a statistical model for dependence, we aim to investigate neuropsychological models assessed by the psychological literature through a systematic review [1] related to Obsessive Compulsive Disorders. We extend the existing analyses [1,2] by considering a larger set of variables (both clinical and neuropsychological) and provide a robust statistical evaluation of several theory-driven models about the effect of OCD on decision-making. Our dataset consists of a large set of clinical and neuropsychological variables (binary, categorical and continuous) collected on 160 subjects (80 with OCD and 80 control) which we use to build our statistical model. We assess robustness of the neuropsychological models by comparing a hypothesis-driven approach mainly based on Structural Equation Models with a data-driven approach based on Bayesian Networks. A main methodological challenge concerns the comparison different model selection strategies and indicators. While there is no “unique” measure model fit [3], we give a systematic review of said measures and discuss their adequateness for the task at hand." @default.
- W2483201898 created "2016-08-23" @default.
- W2483201898 creator A5060131799 @default.
- W2483201898 date "2016-05-05" @default.
- W2483201898 modified "2023-09-26" @default.
- W2483201898 title "Estimating dependence within neuropsychological models for designing risk profiles of decision-makers." @default.
- W2483201898 hasPublicationYear "2016" @default.
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