Bayesian inference for joint modelling of longitudinal continuous, binary and ordinal events.
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Multilayered temporal modeling for the clinical domainBayesian hierarchical joint modeling of repeatedly measured continuous and ordinal markers of disease severity: Application to Ugandan diabetes data.Clinical signs and symptoms in a joint model of four disease activity parameters in juvenile dermatomyositis: a prospective, longitudinal, multicenter cohort study
P2860
Bayesian inference for joint modelling of longitudinal continuous, binary and ordinal events.
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name
Bayesian inference for joint m ...... us, binary and ordinal events.
@en
Bayesian inference for joint m ...... us, binary and ordinal events.
@nl
type
label
Bayesian inference for joint m ...... us, binary and ordinal events.
@en
Bayesian inference for joint m ...... us, binary and ordinal events.
@nl
prefLabel
Bayesian inference for joint m ...... us, binary and ordinal events.
@en
Bayesian inference for joint m ...... us, binary and ordinal events.
@nl
P2093
P2860
P356
P1476
Bayesian inference for joint m ...... us, binary and ordinal events.
@en
P2093
Jianxin Pan
John Belcher
P2860
P304
P356
10.1177/0962280214526199
P577
2014-11-19T00:00:00Z