A two-part mixed-effects pattern-mixture model to handle zero-inflation and incompleteness in a longitudinal setting.
about
Modeling heterogeneity for count data: A study of maternal mortality in health facilities in Mozambique.Small area estimation for semicontinuous skewed spatial data: an application to the grape wine production in Tuscany.Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective.Modeling zero-modified count and semicontinuous data in health services research Part 1: background and overview.Application of hurdle model with random effects for evaluating the balance improvement in stroke patientsZero-inflated count models for longitudinal measurements with heterogeneous random effects.Background and design of the symptom burden in end-stage liver disease patient-caregiver dyad study.Handling endogeneity and nonnegativity in correlated random effects models: Evidence from ambulatory expenditure.
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P2860
A two-part mixed-effects pattern-mixture model to handle zero-inflation and incompleteness in a longitudinal setting.
description
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name
A two-part mixed-effects patte ...... ess in a longitudinal setting.
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A two-part mixed-effects patte ...... ess in a longitudinal setting.
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type
label
A two-part mixed-effects patte ...... ess in a longitudinal setting.
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A two-part mixed-effects patte ...... ess in a longitudinal setting.
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prefLabel
A two-part mixed-effects patte ...... ess in a longitudinal setting.
@en
A two-part mixed-effects patte ...... ess in a longitudinal setting.
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A two-part mixed-effects patte ...... ness in a longitudinal setting
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Antonello Maruotti
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10.1002/BIMJ.201000190
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2011-08-24T00:00:00Z