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Joint Modeling of Longitudinal Imaging and Survival Data (Q6047651)

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scientific article; zbMATH DE number 7747447

Language	Label	Description	Also known as
English	Joint Modeling of Longitudinal Imaging and Survival Data	scientific article; zbMATH DE number 7747447

Statements

scholarly article

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Joint Modeling of Longitudinal Imaging and Survival Data (English)

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Journal of Computational and Graphical Statistics

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publication date

9 October 2023

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zbMATH Keywords

HD-FPCA

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imaging data

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longitudinal response

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MCMC methods

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time-to-event outcome

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1080/10618600.2022.2102027

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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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A Bayesian Semiparametric Joint Hierarchical Model for Longitudinal and Survival Data

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Modelling Progression of CD4-Lymphocyte Count and Its Relationship to Survival Time

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Bayesian Scalar on Image Regression With Nonignorable Nonresponse

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Longitudinal functional principal component analysis

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Joint modeling of longitudinal data with informative observation times and dropouts

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Monte Carlo sampling methods using Markov chains and their applications

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Survival Model Predictive Accuracy and ROC Curves

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Scalar-on-image regression via the soft-thresholded Gaussian process

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FLCRM: Functional linear cox regression model

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BFLCRM: a Bayesian functional linear Cox regression model for predicting time to conversion to Alzheimer's disease

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Bayesian functional joint models for multivariate longitudinal and time-to-event data

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Functional Linear Regression Model for Nonignorable Missing Scalar Responses

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Selecting the Number of Principal Components in Functional Data

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Latent Class Models for Joint Analysis of Longitudinal Biomarker and Event Process Data

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Equation of State Calculations by Fast Computing Machines

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TPRM: tensor partition regression models with applications in imaging biomarker detection

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Generalized functional linear models

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Covariate measurement errors and parameter estimation in a failure time regression model

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Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data

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Jointly Modeling Longitudinal and Event Time Data With Application to Acquired Immunodeficiency Syndrome

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Analysis of longitudinal and survival data: joint modeling, inference methods, and issues

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Tensor Regression with Applications in Neuroimaging Data Analysis

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Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis

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Identifiers

10.1080/10618600.2022.2102027

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:6047651

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