The following pages link to (Q5701068):
Displaying 26 items.
- Stochastic model for analysis of longitudinal data on aging and mortality (Q97673) (← links)
- An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data (Q614171) (← links)
- Missing data methods in longitudinal studies: a review (Q619079) (← links)
- Bayesian local influence for survival models (Q746090) (← links)
- Analysis of longitudinal and survival data: joint modeling, inference methods, and issues (Q764437) (← links)
- Semiparametric Bayesian joint models of multivariate longitudinal and survival data (Q1623585) (← links)
- A new joint model for longitudinal and survival data with a cure fraction (Q1882932) (← links)
- Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables (Q2057836) (← links)
- A flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneity (Q2125967) (← links)
- Joint model for left-censored longitudinal data, recurrent events and terminal event: predictive abilities of tumor burden for cancer evolution with application to the FFCD 2000--05 trial (Q2827208) (← links)
- Robust joint modeling of longitudinal measurements and time to event data using normal/independent distributions: a Bayesian approach (Q2857992) (← links)
- Assessing importance of biomarkers: A Bayesian joint modelling approach of longitudinal and survival data with semi-competing risks (Q3389290) (← links)
- A Bayesian Semiparametric Survival Model with Longitudinal Markers (Q3576919) (← links)
- Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data (Q4649077) (← links)
- Joint modelling of longitudinal response and time-to-event data using conditional distributions: a Bayesian perspective (Q5092989) (← links)
- Joint modelling of longitudinal biomarker and gap time between recurrent events: copula-based dependence (Q5130307) (← links)
- A shared parameter model of longitudinal measurements and survival time with heterogeneous random-effects distribution (Q5138748) (← links)
- A joint model for repeated events of different types and multiple longitudinal outcomes with application to a follow‐up study of patients after kidney transplant (Q5247902) (← links)
- Joint Models for Multivariate Longitudinal and Multivariate Survival Data (Q5492081) (← links)
- Bayesian design of clinical trials using joint cure rate models for longitudinal and time-to-event data (Q6099548) (← links)
- Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression (Q6616333) (← links)
- A joint model for multivariate longitudinal and survival data to discover the conversion to Alzheimer's disease (Q6622239) (← links)
- A Bayesian joint model for zero-inflated integers and left-truncated event times with a time-varying association: applications to senior health care (Q6627873) (← links)
- Bayesian analysis for partly linear Cox model with measurement error and time-varying covariate effect (Q6629318) (← links)
- A marginal estimate for the overall treatment effect on a survival outcome within the joint modeling framework (Q6629873) (← links)
- Joint models of longitudinal and time-to-event data with more than one event time outcome: a review (Q6636164) (← links)
