Application of Correlated Time-to-Event Models to Ecological Momentary Assessment Data

Emily A. Scherer (), Lin Huang and Lydia A. Shrier
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Emily A. Scherer: Geisel School of Medicine at Dartmouth
Lin Huang: Boston Children’s Hospital and Harvard Medical School
Lydia A. Shrier: Boston Children’s Hospital and Harvard Medical School

Psychometrika, 2017, vol. 82, issue 1, No 11, 233-244

Abstract: Abstract Ecological momentary assessment data consist of in-the-moment sampling several times per day aimed at capturing phenomena that are highly variable. When research questions are focused on the association between a construct measured repeatedly and an event that occurs sporadically over time interspersed between repeated measures, the data consist of correlated observed or censored times to an event. In such a case, specialized time-to-event models that account for correlated observations are required to properly assess the relationships under study. In the current study, we apply two time-to-event analysis techniques, proportional hazards, and accelerated failure time modeling, to data from a study of affective states and sexual behavior in depressed adolescents and illustrate differing interpretations from the models.

Keywords: ecological momentary assessment; time to event; proportional hazards model; accelerated failure time model (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s11336-016-9495-z

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