Bayesian inference on joint models of HIV dynamics for time‐to‐event and longitudinal data with skewness and covariate measurement errors

No abstract is available for this paper.

• Publication year

  2011

• Venue

  Statistics in Medicine

• Publication date

  2011-10-30

• Fields of study

  Mathematics, Medicine, Computer Science

• Identifiers
  DOI 10.1002/sim.4321PMID 21805486
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Joint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors

  2010cited by this paper
• Skew‐normal Bayesian nonlinear mixed‐effects models with application to AIDS studies

  2010cited by this paper
• Statistical applications of the multivariate skew normal distribution

  2009cited by this paper
• Measurement Error in Nonlinear Models: a Modern Perspective

  2008cited by this paper
• Simultaneous Inference for Semiparametric Nonlinear Mixed‐Effects Models with Covariate Measurement Errors and Missing Responses

  2007cited by this paper
• Joint inference for nonlinear mixed-effects models and time to event at the presence of missing data.

  2007cited by this paper
• General Immunologic Evaluation of Patients with Human Immunodeficiency Virus Infection

  2006cited by this paper
• Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System

  2006cited by this paper
• On fundamental skew distributions

  2005cited by this paper
• A multivariate skew normal distribution

  2004cited by this paper
• Simultaneous inference for longitudinal data with detection limits and covariates measured with errors, with application to AIDS studies

  2004cited by this paper
• Joint modelling of longitudinal and time-to-event data: an overview

  2004cited by this paper
• Separate and Joint Modeling of Longitudinal and Event Time Data Using Standard Computer Packages

  2004cited by this paper
• Comparison of Two Indinavir/Ritonavir Regimens in the Treatment of HIV-Infected Individuals

  2004cited by this paper
• A new class of multivariate skew distributions with applications to bayesian regression models

  2003influential reference
• Bayesian measures of model complexity and fit

  2002cited by this paper
• The study of long‐term HIV dynamics using semi‐parametric non‐linear mixed‐effects models

  2002influential reference
• A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies

  2002cited by this paper
• Assessing antiviral potency of anti-HIV therapies in vivo by comparing viral decay rates in viral dynamic models.

  2001cited by this paper
• WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility

  2000cited by this paper
• Fundamentals of Survival Data

  1999cited by this paper
• Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials

  1999influential reference
• A Two-Step Approach to Measurement Error in Time-Dependent Covariates in Nonlinear Mixed-Effects Models, with Application to IGF-I Pharmacokinetics

  1997cited by this paper
• HIV-1 Dynamics in Vivo: Virion Clearance Rate, Infected Cell Life-Span, and Viral Generation Time

  1996cited by this paper
• A Linear Mixed-Effects Model with Heterogeneity in the Random-Effects Population

  1996cited by this paper
• Nonlinear Models for Repeated Measurement Data

  1995influential reference
• Modelling progression of CD4-lymphocyte count and its relationship to survival time.

  1994cited by this paper
• INFERENCE AND MISSING DATA

  1975cited by this paper

• A Bayesian Multilevel Joint Modeling of Longitudinal and Survival Outcomes in Cluster Randomized Controlled Trial Studies

  2026cites this paper
• Finite Mixtures of Multivariate t$$ t $$ Linear Mixed‐Effects Models for Censored Longitudinal Data With Concomitant Covariates

  2026influential citation
• Bayesian weighted quantile joint model for longitudinal and semi-competing risks data

  2025cites this paper
• Improved joint modeling of longitudinal and survival data using a poisson regression approach

  2025cites this paper
• A two-stage approach for Bayesian parametric joint modelling of longitudinal and Weibull accelerated failure time data

  2024cites this paper
• Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach

  2023cites this paper
• Flexible modeling of multiple nonlinear longitudinal trajectories with censored and non-ignorable missing outcomes

  2023cites this paper
• Variable selection for joint models of multivariate skew-normal longitudinal and survival data

  2023influential citation
• Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study

  2022cites this paper
• Multivariate piecewise joint models with random change-points for skewed-longitudinal and survival data

  2021cites this paper
• A two-stage approach for joint modeling of longitudinal measurements and competing risks data

  2021cites this paper
• Current forecast of HIV/AIDS using Bayesian inference

  2021cites this paper
• Bayesian joint modeling for partially linear mixed-effects quantile regression of longitudinal and time-to-event data with limit of detection, covariate measurement errors and skewness

  2020cites this paper
• Bayesian joint modelling of longitudinal and time to event data: a methodological review

  2020cites this paper
• Bayesian Change-Point Joint Models for Multivariate Longitudinal and Time-to-Event Data

  2020cites this paper
• Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)

  2020cites this paper
• Partially linear mixed-effects joint models for skewed and missing longitudinal competing risks outcomes

  2019cites this paper
• Quantile regression-based Bayesian joint modeling analysis of longitudinal–survival data, with application to an AIDS cohort study

  2019cites this paper
• Multivariate-t linear mixed models with censored responses, intermittent missing values and heavy tails

  2019cites this paper
• Bayesian quantile regression-based partially linear mixed-effects joint models for longitudinal data with multiple features

  2019cites this paper
• Review and Comparison of Computational Approaches for Joint Longitudinal and Time‐to‐Event Models

  2019cites this paper
• Joint modeling of longitudinal and survival outcomes using generalized estimating equations

  2018cites this paper
• Extending multivariate-t linear mixed models for multiple longitudinal data with censored responses and heavy tails

  2018cites this paper
• Bayesian Inference in a Joint Model for Longitudinal and Time to Event Data with Gompertz Baseline Hazards

  2018cites this paper
• Bayesian inference on partially linear mixed-effects joint models for longitudinal data with multiple features

  2017cites this paper
• 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

  2017cites this paper
• Influence analysis for skew‐normal semiparametric joint models of multivariate longitudinal and multivariate survival data

  2017cites this paper
• Bayesian inference on mixed-effects varying-coefficient joint models with skew-t distribution for longitudinal data with multiple features

  2017cites this paper
• Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival data

  2017cites this paper
• Modeling Longitudinal-Competing Risks Data With Skew Distribution and Mismeasured Covariate

  2017cites this paper
• Bayesian inference on quantile regression-based mixed-effects joint models for longitudinal-survival data from AIDS studies

  2017cites this paper
• Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data

  2017cites this paper
• Prediction of coronary artery disease risk based on multiple longitudinal biomarkers

  2016cites this paper
• Approaches to Statistical Analysis of Longitudinal Data on Aging, Health, and Longevity: Biodemographic Perspectives

  2016cites this paper
• Bayesian Approach to Nonlinear Mixed-Effects Quantile Regression Models for Longitudinal Data with Non-normality and Left-censoring

  2016cites this paper
• Mixed-effects varying-coefficient model with skewed distribution coupled with cause-specific varying-coefficient hazard model with random-effects for longitudinal-competing risks data analysis

  2016cites this paper
• Joint Modeling of Longitudinal and Survival Data

  2016cites this paper
• Joint models for multiple longitudinal processes and time-to-event outcome

  2016cites this paper
• Bayesian inference on partially linear mixed-effects joint models for longitudinal data with multiple features

  2016cites this paper
• Quantile regression-based Bayesian semiparametric mixed-effects models for longitudinal data with non-normal, missing and mismeasured covariate

  2016cites this paper
• Mixture Joint Models for Event Time and Longitudinal Data With Multiple Features

  2016cites this paper
• Joint modeling of survival and longitudinal non‐survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group

  2015cites this paper
• Responses to discussants of ‘Joint modeling of survival and longitudinal non‐survival data: current methods and issues. report of the DIA Bayesian joint modeling working group’

  2015cites this paper
• Bayesian Joint Modelling of Disease Progression Marker and Time to Death Event of HIV/AIDS Patients under ART Follow-up

  2015cites this paper
• A Joint Modeling Approach to Assess the Impact of CD4 Cell Count on the Risk of Loss to Follow Up in HIV/AIDS Patients on Antiretroviral Therapy

  2015cites this paper
• A BAYESIAN APPROACH FOR JOINT MODELING OF SKEW-NORMAL LONGITUDINAL MEASUREMENTS AND TIME TO EVENT DATA

  2015cites this paper
• Joint modelling of longitudinal and survival data on breast cancer

  2015cites this paper
• Joint modeling of a linear mixed effects model for selfesteem from mean ages 13 to 22 and a generalized linear model for anxiety disorder at mean age 33

  2015cites this paper
• A Bayesian mixture of semiparametric mixed‐effects joint models for skewed‐longitudinal and time‐to‐event data

  2015cites this paper
• Joint Analyses of Longitudinal and Time-to-Event Data in Research on Aging: Implications for Predicting Health and Survival

  2014cites this paper
• Bayesian Joint Modelling of Disease Progression and Time to Death Event of HIV/AIDS Patients under ART Follow up at Shashemene Referral Hospital, Ethiopia

  2014cites this paper
• Métodos bayesianos aplicados à modelagem conjunta de dados longitudinais e de sobrevivência

  2013cites this paper
• Advances in Joint Modelling: A Review of Recent Developments with Application to the Survival of End Stage Renal Disease Patients

  2013cites this paper
• Joint models for longitudinal and survival data

  2013cites this paper
• Jointly modeling time-to-event and longitudinal data: a Bayesian approach

  2013cites this paper
• Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues

  2012cites this paper
• Joint Models and Their Applications

  2012cites this paper
• Joint Modeling of  Longitudinal Ordinal Data on  Quality of Life and Survival

  2012cites this paper