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Stable non-linear generalized Bayesian joint models for survival-longitudinal data - MaRDI portal

Stable non-linear generalized Bayesian joint models for survival-longitudinal data (Q6133713)

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scientific article; zbMATH DE number 7730292

Language	Label	Description	Also known as
English	Stable non-linear generalized Bayesian joint models for survival-longitudinal data	scientific article; zbMATH DE number 7730292

Statements

scholarly article

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Stable non-linear generalized Bayesian joint models for survival-longitudinal data (English)

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Janet van Niekerk

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Sankhyā. Series A

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publication date

21 August 2023

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full work available at URL

http://hdl.handle.net/10754/665413

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zbMATH Keywords

Bayesian smoothing spline

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INLA

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latent Gaussian model

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longitudinal

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skew normal

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survival

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MaRDI profile type

MaRDI publication profile

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Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splines

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Automatic Bayesian Curve Fitting

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Multivariate adaptive regression splines

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Joint modelling of longitudinal measurements and event time data

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Joint model-based clustering of nonlinear longitudinal trajectories and associated time-to-event data analysis, linked by latent class membership: with application to AIDS clinical studies

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Joint partially linear model for longitudinal data with informative drop‐outs

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

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Knot selection by boosting techniques

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On the Second‐Order Random Walk Model for Irregular Locations

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Approximate Bayesian Inference for Survival Models

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Extending Integrated Nested Laplace Approximation to a Class of Near-Gaussian Latent Models

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Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach

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Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations

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Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data

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Penalising model component complexity: a principled, practical approach to constructing priors

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Knot selection for least-squares and penalized splines

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A Joint Model for Survival and Longitudinal Data Measured with Error

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Bayesian adaptive smoothing splines using stochastic differential equations

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Spatially Adaptive Regression Splines and Accurate Knot Selection Schemes

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Identifiers

Mathematics Subject Classification ID

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zbMATH DE Number

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10.1007/S13171-020-00233-0

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Sitelinks

Mathematics(1 entry)

mardi Publication:6133713

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