Joint modeling of repeated multivariate cognitive measures and competing risks of dementia and death: a latent process and latent class approach
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Summary
The aim is to predict the risk of dementia by accounting for the competing death according to the profiles of semantic memory measured by two asymmetric psychometric tests using flexible measurement models adapted to different types of data.
- Type
- article
- Published
- 2014-09-26
- Cited by
- 92
- References
- 36
- Access
- Open access
- OpenAlex
- https://openalex.org/W1911585927
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:33939767
Keywords
Latent class model, Multivariate statistics, Dementia, Probabilistic latent semantic analysis, Econometrics
References
- Parametric latent class joint model for a longitudinal biomarker and recurrent events
- Joint Models for Longitudinal and Time-to-Event Data: With Applications in R
- Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time‐to‐event in presence of censoring and competing risks
- Joint analysis of correlated repeated measures and recurrent events processes in the presence of death, with application to a study on acquired immune deficiency syndrome
- A Nonlinear Model with Latent Process for Cognitive Evolution Using Multivariate Longitudinal Data
- Joint modeling of longitudinal ordinal data and competing risks survival times and analysis of the NINDS rt-PA stroke trial
- Joint Models for Multivariate Longitudinal and Multivariate Survival Data
- Dynamic Latent Trait Models for Multidimensional Longitudinal Data
- Analysis of multivariate mixed longitudinal data: a flexible latent process approach.
- A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types
- Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model
- Joint Modeling for Cognitive Trajectory and Risk of Dementia in the Presence of Death
- Latent Variable Models for Longitudinal Data with Multiple Continuous Outcomes
- Joint modelling of longitudinal and competing risks data
- Item Response Theory: Parameter Estimation Techniques
- Latent variable models with fixed effects.
- Joint modeling of two longitudinal outcomes and competing risk data
- Joint Models of Longitudinal Data and Recurrent Events with Informative Terminal Event
- Joint modeling of multivariate longitudinal data and the dropout process in a competing risk setting: application to ICU data
- BEYOND SEM: GENERAL LATENT VARIABLE MODELING
Cited by
- Joint latent class model for longitudinal data and interval‐censored semi‐competing events: Application to dementia
- DYNAMIC PREDICTION FOR MULTIPLE REPEATED MEASURES AND EVENT TIME DATA: AN APPLICATION TO PARKINSON’S DISEASE
- Mid- to Late-Life Trajectories of Blood Pressure and the Risk of Stroke: The Rotterdam Study
- Categorizing natural history trajectories of ambulatory function measured by the 6-minute walk distance in patients with Duchenne muscular dystrophy
- Joint modelling of time-to-event and multivariate longitudinal outcomes: recent developments and issues
- Bayesian joint ordinal and survival modeling for breast cancer risk assessment
- Determinants, Comorbidities, and Long-term Prognosis of Stroke
- Évaluation de prédictions dynamiques: quelques méthodes et applications au pronostic de la démence
- Dealing with death when studying disease or physiological marker: the stochastic system approach to causality
- Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes
- Longitudinal Patterns of HIV Medication Adherence at an Urban HIV Clinic
- Accommodating informative dropout and death: a joint modelling approach for longitudinal and semi-competing risks data
- Bayesian joint modeling of bivariate longitudinal and competing risks data: An application to study patient‐ventilator asynchronies in critical care patients
- Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction
- Are latent variable models preferable to composite score approaches when assessing risk factors of change? Evaluation of type-I error and statistical power in longitudinal cognitive studies
- A comparison of joint models for longitudinal and competing risks data, with application to an epilepsy drug randomized controlled trial
- High SBP trajectories are associated with risk of all-cause death in general Chinese population
- Extending the analysis of zebrafish behavioral endophenotypes for modeling psychiatric disorders: Fear conditioning to conspecific alarm response.
- A joint model for multiple dynamic processes and clinical endpoints: Application to Alzheimer's disease
- Immune monitoring after pediatric liver transplantation – the prospective ChilSFree cohort study
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