Latent class analysis for identifying subclasses of depression using JMP Pro 16

• Main Authors: KARISHMA YADAV, SEET, Fei Fei Sue-ann, KAM, Tin Seong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Data Access and Manipulation; Latent Class Analysis; Data Visualization; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6871; https://ink.library.smu.edu.sg/context/sis_research/article/7874/viewcontent/Paper___Latent_Class_Analysis_for_Identifying_subclasses_of_Depression_using_JMP_Pro_16.pdf
• Institution: Singapore Management University

According to WHO, “Depression is a leading cause of disability worldwide and is a major contributor to the overall global burden of disease”. A major stumbling block in the care of depressed patients remains the accurate diagnosis of the severity of depression. Patient Health Questionnaire (PHQ-9),...