Survival analysis with time-dependent covariates subject to missing data or measurement error: Multiple Imputation for Joint Modeling (MIJM)

Moreno-Betancur, Margarita, Carlin, John B., Brilleman, Samuel L., Tanamas, Stephanie K., Peeters, Anna and Wolfe, Rory 2017, Survival analysis with time-dependent covariates subject to missing data or measurement error: Multiple Imputation for Joint Modeling (MIJM), Biostatistics, doi: 10.1093/biostatistics/kxx046.

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Title Survival analysis with time-dependent covariates subject to missing data or measurement error: Multiple Imputation for Joint Modeling (MIJM)
Author(s) Moreno-Betancur, Margarita
Carlin, John B.
Brilleman, Samuel L.
Tanamas, Stephanie K.
Peeters, AnnaORCID iD for Peeters, Anna orcid.org/0000-0003-4340-9132
Wolfe, Rory
Journal name Biostatistics
Total pages 8
Publisher Oxford University Publishing
Place of publication Oxford, Eng.
Publication date 2017-10-12
ISSN 1468-4357
Keyword(s) Additive hazard model
Cox model
Joint model
Measurement error
Missing data
Multiple imputation
Multiple overimputation
Regression calibration
Time-dependent covariates
Notes In press
Language eng
DOI 10.1093/biostatistics/kxx046
Field of Research 0104 Statistics
0604 Genetics
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30103954

Document type: Journal Article
Collections: School of Health and Social Development
Population Health
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