On the Potential of Discrete Time Survival Analysis Using Latent Variable Modeling: An Application to the Study of the Vascular Depression Hypothesis

Structural Equation Modeling

Volumn 24, Issue 6, 2017, Pages 926-935

  Raykov, Tenko ^a   Gorelick, Philip B ^b   Zajacova, Anna ^c   Marcoulides, George A ^d  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c UNIVERSITY OF WESTERN ONTARIO   (Canada)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

depression; discrete time survival analysis; latent variable modeling; multiple testing; unique predictive power; vascular depression hypothesis

Indexed keywords

GERIATRICS;

DEPRESSION; LATENT VARIABLE MODELING; MULTIPLE TESTING; PREDICTIVE POWER; SURVIVAL ANALYSIS; VASCULAR DEPRESSION HYPOTHESIS;

BIOINFORMATICS;

EID: 85018258902     PISSN: 10705511     EISSN: 15328007     Source Type: Journal    
DOI: 10.1080/10705511.2017.1315305     Document Type: Article

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