Pages that link to "Item:Q2889696"

The following pages link to Joint models for longitudinal and time-to-event data. With applications in R (Q2889696):

Displaying 50 items.

• The joint modeling approach with a simulation study for evaluating the association between the trajectory of serum albumin levels and mortality in peritoneal dialysis patients (Q5057414) (← links)
• JOINT MODEL PREDICTION AND APPLICATION TO INDIVIDUAL-LEVEL LOSS RESERVING (Q5067883) (← links)
• A novel method for joint modeling of survival data and count data for both simple randomized and cluster randomized data (Q5078899) (← links)
• A comparison of using weighted distribution and joint modeling for analyzing non-ignorable missing responses (Q5086186) (← links)
• Joint modelling of longitudinal response and time-to-event data using conditional distributions: a Bayesian perspective (Q5092989) (← links)
• Joint modeling of longitudinal count and time-to-event data with excess zero using accelerated failure time model: an application with CD4 cell counts (Q5104526) (← links)
• Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data (Q5130239) (← links)
• Joint modelling of longitudinal biomarker and gap time between recurrent events: copula-based dependence (Q5130307) (← links)
• A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games (Q5130595) (← links)
• Bayesian longitudinal models for paediatric kidney transplant recipients (Q5138004) (← links)
• Robust modelling of the relationship between CD4 and viral load for complex AIDS data (Q5138997) (← links)
• Joint modelling of longitudinal and repeated time-to-event data using nonlinear mixed-effects models and the stochastic approximation expectation–maximization algorithm (Q5220804) (← links)
• Joint models for multiple longitudinal processes and time-to-event outcome (Q5221561) (← links)
• Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data (Q5267849) (← links)
• Inference in randomized trials with death and missingness (Q5283299) (← links)
• Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patients (Q5347442) (← links)
• The analysis of student paths at the University using the multivariate joint models (Q5860760) (← links)
• State transition modeling of complex monitored health data (Q5861400) (← links)
• Multivariate piecewise joint models with random change-points for skewed-longitudinal and survival data (Q5867714) (← links)
• Evaluation of longitudinal surrogate markers (Q6050955) (← links)
• Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring (Q6055538) (← links)
• Joint modeling of zero‐inflated longitudinal proportions and time‐to‐event data with application to a gut microbiome study (Q6055724) (← links)
• Mixed‐effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study (Q6067656) (← links)
• Bayesian subcohort selection for longitudinal covariate measurements in follow‐up studies (Q6068046) (← links)
• Robust joint modelling of longitudinal and survival data: Incorporating a time‐varying degrees‐of‐freedom parameter (Q6068290) (← links)
• Dynamic monitoring of the effects of adherence to medication on survival in heart failure patients: A joint modeling approach exploiting time‐varying covariates (Q6071298) (← links)
• Dynamic risk score modeling for multiple longitudinal risk factors and survival (Q6071697) (← links)
• Flexible link functions in a joint hierarchical Gaussian process model (Q6074530) (← links)
• Review and Comparison of Computational Approaches for Joint Longitudinal and Time‐to‐Event Models (Q6086623) (← links)
• Dynamic prediction of mortality among patients in intensive care using the sequential organ failure assessment (SOFA) score: a joint competing risk survival and longitudinal modeling approach (Q6089160) (← links)
• Robust joint modelling of left-censored longitudinal data and survival data with application to HIV vaccine studies (Q6104088) (← links)
• A Gaussian copula joint model for longitudinal and time-to-event data with random effects (Q6113736) (← links)
• Joint modeling of playing time and purchase propensity in massively multiplayer online role-playing games using crossed random effects (Q6138578) (← links)
• Bayesian inference and dynamic prediction for multivariate longitudinal and survival data (Q6138582) (← links)
• Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma (Q6163507) (← links)
• Joint models for longitudinal and discrete survival data in credit scoring (Q6167389) (← links)
• Joint models of multivariate longitudinal outcomes and discrete survival data with INLA: an application to credit repayment behaviour (Q6168507) (← links)
• Handling missingness value on jointly measured time-course and time-to-event data (Q6171283) (← links)
• A two-stage approach for Bayesian joint models: reducing complexity while maintaining accuracy (Q6172180) (← links)
• Diagnostics for a two-stage joint survival model (Q6181868) (← links)
• Profile likelihood estimation for the cox proportional hazards (PH) cure model and standard errors (Q6494438) (← links)
• Change-point analysis when proportional hazards are violated: time-to-decannulation among paediatric tracheostomy patients (Q6543976) (← links)
• Choice of baseline hazards in joint modeling of longitudinal and time-to-event cancer survival data (Q6544888) (← links)
• Modeling and analysis of chronic disease processes under intermittent observation (Q6547608) (← links)
• Joint modeling for longitudinal and interval-censored survival data: application to IMPI multi-center HIV/AIDS clinical trial (Q6547612) (← links)
• Semiparametric multivariate joint model for skewed-longitudinal and survival data: a Bayesian approach (Q6560485) (← links)
• Semiparametric normal transformation joint model of multivariate longitudinal and bivariate time-to-event data (Q6560552) (← links)
• A hidden Markov model for continuous longitudinal data with missing responses and dropout (Q6563661) (← links)
• Kernel Estimation of Bivariate Time-Varying Coefficient Model for Longitudinal Data with Terminal Event (Q6567905) (← links)
• Joint modeling of survival and longitudinal ordered data using a semiparametric approach (Q6569941) (← links)