Boosting joint models for longitudinal and time-to-event data.
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Flexible Bayesian additive joint models with an application to type 1 diabetes research.An Update on Statistical Boosting in Biomedicine.Immune monitoring after pediatric liver transplantation - the prospective ChilSFree cohort study.BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
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Boosting joint models for longitudinal and time-to-event data.
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2017 nî lūn-bûn
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2017年学术文章
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name
Boosting joint models for longitudinal and time-to-event data.
@ast
Boosting joint models for longitudinal and time-to-event data.
@en
type
label
Boosting joint models for longitudinal and time-to-event data.
@ast
Boosting joint models for longitudinal and time-to-event data.
@en
prefLabel
Boosting joint models for longitudinal and time-to-event data.
@ast
Boosting joint models for longitudinal and time-to-event data.
@en
P2093
P2860
P50
P356
P1433
P1476
Boosting joint models for longitudinal and time-to-event data
@en
P2093
David Taylor-Robinson
Nadja Klein
Tania Pressler
Thomas Kneib
P2860
P304
P356
10.1002/BIMJ.201600158
P577
2017-03-21T00:00:00Z
P698
P818
1609.02686