Pages that link to "Item:Q3079171"
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The following pages link to Bayesian Approaches to Joint Cure-Rate and Longitudinal Models with Applications to Cancer Vaccine Trials (Q3079171):
Displaying 23 items.
- Missing data methods in longitudinal studies: a review (Q619079) (← links)
- Bayesian local influence for survival models (Q746090) (← links)
- Bayesian regression analysis of data with random effects covariates from nonlinear longitudinal measurements (Q900794) (← 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)
- Semiparametric Bayesian Markov analysis of personalized benefit-risk assessment (Q2194462) (← links)
- Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers (Q2195902) (← links)
- Joint modeling of longitudinal and cure-survival data (Q2320840) (← links)
- Bayesian inference on longitudinal-survival data with multiple features (Q2403392) (← links)
- A new approach for joint modelling of longitudinal measurements and survival times with a cure fraction (Q2856535) (← links)
- Assessing importance of biomarkers: A Bayesian joint modelling approach of longitudinal and survival data with semi-competing risks (Q3389290) (← links)
- Bayesian Cure Rate Models for Malignant Melanoma: A Case-Study of Eastern Cooperative Oncology Group Trial E1690 (Q3435697) (← links)
- A Bayesian Semiparametric Survival Model with Longitudinal Markers (Q3576919) (← links)
- Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data (Q4649077) (← links)
- A Nested Dirichlet Process Analysis of Cluster Randomized Trial Data With Application in Geriatric Care Assessment (Q4916926) (← links)
- Bayesian superposition of pure-birth destructive cure processes for tumor latency (Q5083939) (← links)
- A joint modelling approach for clustered recurrent events and death events (Q5128895) (← links)
- Jointly modeling skew longitudinal survival data with missingness and mismeasured covariates (Q5138713) (← links)
- A likelihood based approach for joint modeling of longitudinal trajectories and informative censoring process (Q5866044) (← links)
- Bayesian design of clinical trials using joint cure rate models for longitudinal and time-to-event data (Q6099548) (← links)
- A semiparametric promotion time cure model with support vector machine (Q6138594) (← links)
- Promotion time cure rate model with a neural network estimated nonparametric component (Q6628130) (← links)
- Individual dynamic prediction for cure and survival based on longitudinal biomarkers (Q6665467) (← links)
