A flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneity
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Publication:2125967
DOI10.1007/s10260-021-00566-6OpenAlexW3142580203MaRDI QIDQ2125967
Publication date: 14 April 2022
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-021-00566-6
time-varying coefficientsrepeated measurementsjoint modelpenalized splinesmodelling heteroscedasticity
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Cites Work
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- Jointly modeling time-to-event and longitudinal data: a Bayesian approach
- Understanding predictive information criteria for Bayesian models
- A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome
- Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches
- Parametrization and penalties in spline models with an application to survival analysis
- Semiparametric Bayesian joint models of multivariate longitudinal and survival data
- Generalized structured additive regression based on Bayesian P-splines
- Quantile regression-based Bayesian joint modeling analysis of longitudinal-survival data, with application to an AIDS cohort study
- Joint Models for Longitudinal and Time-to-Event Data
- A Joint Mixed Effects Dispersion Model for Menstrual Cycle Length and Time-to-Pregnancy
- Fully Exponential Laplace Approximations for the Joint Modelling of Survival and Longitudinal Data
- Joint modeling of cross‐sectional health outcomes and longitudinal predictors via mixtures of means and variances
- Semiparametric Approaches for Joint Modeling of Longitudinal and Survival Data with Time-Varying Coefficients
- Joint modelling of accelerated failure time and longitudinal data
- Hierarchical Bayes Models for the Progression of HIV Infection Using Longitudinal CD4 T-Cell Numbers
- Inference and missing data
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Linear Mixed Models with Heterogeneous within-Cluster Variances
- Joint analysis of longitudinal and survival AIDS data with a spatial fraction of long‐term survivors: A Bayesian approach
- Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data
- Bayesian Measures of Model Complexity and Fit
- Building Cox-type structured hazard regression models with time-varying effects
- Simultaneous probability statements for Bayesian P-splines
- Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited
- Joint model of recurrent events and a terminal event with time‐varying coefficients
- A Mixed Model Approach for Geoadditive Hazard Regression
- Joint modelling of longitudinal measurements and event time data
- Geoadditive Survival Models
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
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