Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and ti...
Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time‐to‐event in presence of censoring and competing risks
About this item
Full title
Author / Creator
Publisher
United States: International Biometric Society, etc.
Journal title
Language
English
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Publication information
Publisher
United States: International Biometric Society, etc.
Subjects
More information
Scope and Contents
Contents
Thanks to the growing interest in personalized medicine, joint modeling of longitudinal marker and time‐to‐event data has recently started to be used to derive dynamic individual risk predictions. Individual predictions are called dynamic because they are updated when information on the subject's health profile grows with time. We focus in this wor...
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Full title
Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time‐to‐event in presence of censoring and competing risks
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Record Identifier
TN_cdi_proquest_miscellaneous_1669832561
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1669832561
Other Identifiers
ISSN
0006-341X
E-ISSN
1541-0420
DOI
10.1111/biom.12232
