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A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data.

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Title: A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data.
Authors: Abbott, Madeline R1, mrabbott@umich.edu, Dempsey, Walter H1, Nahum-Shani, Inbal2, Potter, Lindsey N3, Wetter, David W3, Lam, Cho Y3, Taylor, Jeremy M G1
Source: Biometrics; Jun2025, Vol. 81 Issue 2, p1-12, 12p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187169330
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Biometrics%22">Biometrics</searchLink>; Jun2025, Vol. 81 Issue 2, p1-12, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187169330
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      – Type: doi
        Value: 10.1093/biomtc/ujaf052
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        Text: English
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        PageCount: 12
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      – TitleFull: A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data.
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            NameFull: Abbott, Madeline R
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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