Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Biometrics

• Publication date

  2010-03-01

• Fields of study

  Mathematics, Medicine

• Identifiers
  DOI 10.1111/j.1541-0420.2009.01234.xPMID 19432771
• 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.

• Determinants of change of prostate-specific antigen over time and its association with recurrence following external beam radiation therapy of prostate cancer in 5 large cohorts

  2010cited by this paper
• Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach

  2009cited by this paper
• Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach.

  2009cited by this paper
• Pattern Mixture Models and Latent Class Models for the Analysis of Multivariate Longitudinal Data with Informative Dropouts

  2008cited by this paper
• A Latent‐Class Mixture Model for Incomplete Longitudinal Gaussian Data

  2008cited by this paper
• Determinants of change in prostate-specific antigen over time and its association with recurrence after external beam radiation therapy for prostate cancer in five large cohorts.

  2008cited by this paper
• How Can the Score Test Be Inconsistent?

  2007influential reference
• Individualized predictions of disease progression following radiation therapy for prostate cancer.

  2005cited by this paper
• Latent class regression on latent factors.

  2005cited by this paper
• Latent Pattern Mixture Models for Informative Intermittent Missing Data in Longitudinal Studies

  2004influential reference
• Individualized predictions of disease progression following radiation therapy (RT) for prostate cancer

  2004cited by this paper
• Modeling Longitudinal Data with Nonignorable Dropouts Using a Latent Dropout Class Model

  2003influential reference
• Latent Class Models for Joint Analysis of Longitudinal Biomarker and Event Process Data

  2002influential reference
• Joint modelling of longitudinal measurements and event time data.

  2000cited by this paper
• Latent Variable Regression for Multiple Discrete Outcomes

  1997cited by this paper
• A Linear Mixed-Effects Model with Heterogeneity in the Random-Effects Population

  1996cited by this paper
• Informative Drop‐Out in Longitudinal Data Analysis

  1994cited by this paper
• Test of homogeneity of binary data with explanatory variables.

  1994cited by this paper
• Informative dropout in longitudinal data analysis (with discussion)

  1994cited by this paper
• Random-effects models for longitudinal data.

  1982influential reference
• Estimating the Dimension of a Model

  1978cited by this paper

• Joint Latent Class Models: A Tutorial on Practical Applications in Clinical Research

  2025cites this paper
• Baseline and longitudinal trajectories of body-mass index and all-cause mortality among patients with type 2 diabetes.

  2023cites this paper
• Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data

  2023cites this paper
• Joint models for dynamic prediction in localised prostate cancer: a literature review

  2022cites this paper
• Describing complex disease progression using joint latent class models for multivariate longitudinal markers and clinical endpoints

  2022cites this paper
• A Gaussian copula joint model for longitudinal and time-to-event data with random effects

  2021cites this paper
• A latent class approach for joint modeling of a time-to-event outcome and multiple longitudinal biomarkers subject to limits of detection

  2020cites this paper
• Assessing importance of biomarkers: A Bayesian joint modelling approach of longitudinal and survival data with semi-competing risks

  2020cites this paper
• A Comparative Study of Different Joint Modeling Approaches for HIV/AIDS Patients in Southern Iran

  2020cites this paper
• Risk classification for conversion from mild cognitive impairment to Alzheimer's disease in primary care.

  2019cites this paper
• Longitudinal Trajectories of Fasting Plasma Glucose and Risks of Cardiovascular Diseases in Middle Age to Elderly People Within the General Japanese Population: The Suita Study

  2019cites this paper
• Prediction of Survival With Long‐Term Disease Progression in Most Common Spinocerebellar Ataxia

  2019cites this paper
• A Joint Modeling Approach for Childhood Meat, Fish and Egg Consumption and the Risk of Advanced Islet Autoimmunity

  2019cites this paper
• A likelihood based approach for joint modeling of longitudinal trajectories and informative censoring process

  2018cites this paper
• A Proposed Approach for Joint Modeling of the Longitudinal and Time-To-Event Data in Heterogeneous Populations: An Application to HIV/AIDS's Disease

  2018cites this paper
• A comparison of joint models for longitudinal and competing risks data, with application to an epilepsy drug randomized controlled trial

  2018cites this paper
• Joint analysis of left‐censored longitudinal biomarker and binary outcome via latent class modeling

  2018cites this paper
• Advances in frailty models

  2018cites this paper
• Integrating latent classes in the Bayesian shared parameter joint model of longitudinal and survival outcomes

  2018cites this paper
• Regularized Latent Class Model for Joint Analysis of High‐Dimensional Longitudinal Biomarkers and a Time‐to‐Event Outcome

  2018cites this paper
• The Latent Class Stochastic Process Model for Evaluation of Hidden Heterogeneity in Longitudinal Data

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

  2016cites this paper
• Score test for association between recurrent events and a terminal event

  2016cites this paper
• Study of dementia and cognitive decline accounting for selection by death

  2016cites this paper
• Joint modeling of HIV data in multicenter observational studies: A comparison among different approaches

  2016cites this paper
• Joint latent class model of survival and longitudinal data: An application to CPCRA study

  2015cites this paper
• Joint latent class model for longitudinal data and interval‐censored semi‐competing events: Application to dementia

  2015cites this paper
• A joint latent class model for classifying severely hemorrhaging trauma patients

  2015cites this paper
• Estimation of extended mixed models using latent classes and latent processes: the R package lcmm

  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
• Joint latent class models for longitudinal and time-to-event data: A review

  2014cites this paper
• A dynamic trajectory class model for intensive longitudinal categorical outcome

  2014cites this paper
• Joint modeling of repeated multivariate cognitive measures and competing risks of dementia and death: a latent process and latent class approach

  2014influential citation
• DÉVELOPPEMENT D'OUTILS PRONOSTIQUES DYNAMIQUES DANS LE CANCER DE LA PROSTATE LOCALISÉ TRAITÉ PAR RADIOTHÉRAPIE

  2013cites this paper
• Joint Models and Their Applications

  2012cites this paper
• Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues

  2012cites this paper
• Choice of Prognostic Estimators in Joint Models by Estimating Differences of Expected Conditional Kullback–Leibler Risks

  2012influential citation
• Joint Modeling of  Longitudinal Ordinal Data on  Quality of Life and Survival

  2012cites this paper
• Survival models for data arising from multiphase hazards, latent subgroups or subject to time-dependent treatment effects

  2011cites this paper
• Modèles conjoints pour données longitudinales et données de survie incomplètes appliqués à l'étude du vieillissement cognitif

  2009cites this paper
• DOCTORAT DE L'UNIVERSITE BORDEAUX 2

  2009cites this paper
• Risk classi fi cation for conversion from mild cognitive impairment to Alzheimer's disease in primary care

  year unknowncites this paper