Abstract
Discrete-time survival analysis (DTSA) is a method widely used by social and behavioral researchers as it aids in the exploration of patterns in time-to-event measures. However, the traditional DTSA models often fail to adequately represent the structured dynamics of hazardous processes. This study introduces structural DTSA, an alternative approach that extends traditional DTSA by incorporating functional forms of hazard changes. With structural DTSA, a reparameterization of the functional forms is also possible for more meaningful interpretations of the results of time-to-event data analyses. This study aims to provide a detailed tutorial on structured DTSA, demonstrating its applicability in social and behavioral research. Henceforth, we demonstrate the application of structured DTSA using data on smoking initiation from the National Longitudinal Study of Youth 1997 (NLSY97). These findings highlight the potential of structured DTSA for various developmental studies.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Structural Equation Modeling: A Multidisciplinary Journal
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
