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Latent Trajectory Analysis of Youth at High Risk of Psychosis

Fan, Wenyi (2017)
Master's Thesis (31 pages)
Committee Chair / Thesis Adviser: Hanfelt, John
Committee Members: Lyles, Robert
Research Fields: Biostatistics
Partnering Agencies: Does not apply (no collaborating organization)
Keywords: Latent Class Analysis
Program: Rollins School of Public Health, Biostatistics and Bioinformatics (Biostatistics)
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Psychotic disorders are a group of serious illnesses that affect the mind and cause abnormal thinking and perceptions. These disorders affect over 5% of the population. Among illnesses that affect people ages 15 to 44, schizophrenia is the 8th leading cause of disability worldwide. The first goal of this analysis was to conduct a latent class analysis(LCA) on the longitudinal trajectories of clinical characteristics of youths at Clinical High-Risk(CHR) of psychosis. A second purpose of this study was to examine whether there was an association between two-year clinical outcome and empirically derived CHR subgroups. In this analysis, we used LCA to analyze variables collected as part of the North American Prodrome Longitudinal Study 2 (NAPLS2). The results showed that the two-class model was preferred according to the model selection criteria, AIC, BIC, and ICL-BIC. Based on these two subgroups, a multinomial logistic regression analysis indicated that there was a significant relation between the participants' classifications into latent subgroups and their clinical outcomes.

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application/pdf Master's Thesis 31 pages (287.9 KB) [Master's Thesis]
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