Flexible Bayesian additive joint models with an application to type 1 diabetes research.

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Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: results from the TEDDY study.BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)

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Q38601023-8D677998-B943-4442-9F64-ECFD741D8EDB Q57263749-7BDD962D-FEDA-4A84-966D-8AD6EA9EE7C4

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Flexible Bayesian additive joint models with an application to type 1 diabetes research.

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2017 nî lūn-bûn

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Flexible Bayesian additive joint models with an application to type 1 diabetes research.

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Flexible Bayesian additive joint models with an application to type 1 diabetes research.

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Flexible Bayesian additive joint models with an application to type 1 diabetes research.

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Flexible Bayesian additive joint models with an application to type 1 diabetes research.

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Anette-Gabriele Ziegler

http://www.w3.org/2001/XMLSchema#string

Christiane Winkler

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Nikolaus Umlauf

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Sonja Greven

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Joint modeling longitudinal semi-continuous data and survival, with application to longitudinal medical cost data.

Simulating biologically plausible complex survival data.

Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group

A Bayesian semiparametric joint hierarchical model for longitudinal and survival data.

Semiparametric Bayesian inference on skew-normal joint modeling of multivariate longitudinal and survival data.

A two-part joint model for the analysis of survival and longitudinal binary data with excess zeros.

Semiparametric approaches for joint modeling of longitudinal and survival data with time-varying coefficients.

Modeling longitudinal data with nonparametric multiplicative random effects jointly with survival data.

Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival data.

Semiparametric modeling of longitudinal measurements and time-to-event data--a two-stage regression calibration approach.

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scholarly article

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10.1002/BIMJ.201600224

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Andreas Beyerlein

Meike Köhler

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2017-08-10T00:00:00Z

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28796339

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1611.01485

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type-1 diabetes

Flexible Bayesian additive joint models with an application to type 1 diabetes research.

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P2860

P2860

Flexible Bayesian additive joint models with an application to type 1 diabetes research.

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P2093

P2860

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P2860

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