Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches
From MaRDI portal
Publication:746087
DOI10.1007/s10985-010-9162-0zbMath1322.62275OpenAlexW2154693117WikidataQ44572297 ScholiaQ44572297MaRDI QIDQ746087
Timothy E. Hanson, Adam J. Branscum, Wesley O. Johnson
Publication date: 15 October 2015
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-010-9162-0
Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Reliability and life testing (62N05)
Related Items
A flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneity, Bayesian inference for conditional copulas using Gaussian process single index models, More nonparametric Bayesian inference in applications, Bayesian estimation of two‐part joint models for a longitudinal semicontinuous biomarker and a terminal event with INLA: Interests for cancer clinical trial evaluation, Multilevel Bayesian Models for Survival Times and Longitudinal Patient-Reported Outcomes With Many Zeros, Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data, Bayesian Nonparametric Biostatistics, Bayesian Spatial Survival Models, Fully Nonparametric Regression Modelling of Misclassified Censored Time-to-Event Data, Marginal Bayesian Semiparametric Modeling of Mismeasured Multivariate Interval-Censored Data, Bridging randomized controlled trials and single-arm trials using commensurate priors in arm-based network meta-analysis, A Bayesian Joint Dispersion Model with Flexible Links
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Random-Effects Models for Longitudinal Data
- Propriety of posteriors in structured additive regression models: Theory and empirical evi\-dence
- Mixed model-based inference in geoadditive hazard regression for interval-censored survival times
- Polya trees and random distributions
- Some aspects of Pólya tree distributions for statistical modelling
- Modeling survival data: extending the Cox model
- More aspects of Pólya tree distributions for statistical modelling
- Prior distributions on spaces of probability measures
- Bayesian analysis for random coefficient regression models using noninformative priors
- Generalized functional linear models
- Dynamic regression models for survival data.
- Semiparametric inference for the proportional odds model with time-dependent covariates
- Posterior propriety and computation for the Cox regression model with applications to missing covariates
- Hazard Rate Models with Covariates
- A Bayesian Semiparametric Joint Hierarchical Model for Longitudinal and Survival Data
- Inference for Mixtures of Finite Polya Tree Models
- Semiparametric Approaches for Joint Modeling of Longitudinal and Survival Data with Time-Varying Coefficients
- “Smooth” Semiparametric Regression Analysis for Arbitrarily Censored Time-to-Event Data
- Quantifying the Predictive Performance of Prognostic Models for Censored Survival Data with Time-Dependent Covariates
- Bayesian Nonparametric Meta‐Analysis Using Polya Tree Mixture Models
- Joint modelling of accelerated failure time and longitudinal data
- Gaussian Predictive Process Models for Large Spatial Data Sets
- Semiparametric inference for survival models with step process covariates
- Covariate measurement errors and parameter estimation in a failure time regression model
- A Predictive Approach to Model Selection
- A Joint Model for Survival and Longitudinal Data Measured with Error
- Jointly Modeling Longitudinal and Event Time Data With Application to Acquired Immunodeficiency Syndrome
- Modeling Regression Error With a Mixture of Polya Trees
- Bayesian and Conditional Frequentist Testing of a Parametric Model Versus Nonparametric Alternatives
- Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited
- Bayesian Semiparametric Proportional Odds Models
- Bayesian Survival Analysis in Proportional Hazard Models with Logistic Relative Risk
- An estimator for the proportional hazards model with multiple longitudinal covariates measured with error
- The joint modeling of a longitudinal disease progression marker and the failure time process in the presence of cure
- A Flexible B‐Spline Model for Multiple Longitudinal Biomarkers and Survival
- Bayesian survival analysis
