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  A tutorial for joint modeling of longitudinal and time-to-event data in R

Cekic, S., Aichele, S., Brandmaier, A. M., Köhncke, Y., & Ghisletta, P. (2021). A tutorial for joint modeling of longitudinal and time-to-event data in R. Quantitative and Computational Methods in Behavioral Sciences, 1: e2979. doi:10.5964/qcmb.2979.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-F1E5-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-EFAC-6
Genre: Journal Article

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2979-Main Article File-51429-4-10-20210511.pdf (Publisher version), 783KB
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2979-Main Article File-51429-4-10-20210511.pdf
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https://doi.org/10.5964/qcmb.2979 (Publisher version)
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 Creators:
Cekic, Sezen1, Author
Aichele, Stephen1, Author
Brandmaier, Andreas M.2, 3, Author                 
Köhncke, Ylva2, Author           
Ghisletta, Paolo1, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Center for Lifespan Psychology, Max Planck Institute for Human Development, Max Planck Society, ou_2074288              
3Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society, ou_2205641              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.5964/qcmb.2979
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Title: Quantitative and Computational Methods in Behavioral Sciences
Source Genre: Journal
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Pages: - Volume / Issue: 1 Sequence Number: e2979 Start / End Page: - Identifier: -