Pages that link to "Item:Q5295357"

The following pages link to Joint Modeling of Survival and Longitudinal Data: Likelihood Approach Revisited (Q5295357):

Displaying 50 items.

• Generalized log-logistic proportional hazard model with applications in survival analysis (Q347278) (← links)
• Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule (Q425636) (← links)
• The joint model of the logistic model and linear random effect model -- an application to predict orthostatic hypertension for subacute stroke patients (Q452723) (← links)
• Modeling left-truncated and right-censored survival data with longitudinal covariates (Q693732) (← links)
• A review on joint models in biometrical research (Q715804) (← links)
• Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches (Q746087) (← links)
• Discussion of: ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches'' (Q746088) (← links)
• Rejoinder for ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches'' (Q746089) (← links)
• Analysis of longitudinal and survival data: joint modeling, inference methods, and issues (Q764437) (← links)
• Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data (Q830615) (← links)
• Generalized linear mixed joint model for longitudinal and survival outcomes (Q892489) (← links)
• Penalized likelihood approach for simultaneous analysis of survival time and binary longitudinal outcome (Q1698208) (← links)
• Joint modeling of survival time and longitudinal outcomes with flexible random effects (Q1698947) (← links)
• Semiparametric transformation joint models for longitudinal covariates and interval-censored failure time (Q1796937) (← links)
• Accelerated failure time models for recurrent event data analysis and joint modeling (Q2095701) (← links)
• A flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneity (Q2125967) (← links)
• GPU accelerated estimation of a shared random effect joint model for dynamic prediction (Q2157530) (← links)
• Survival models and health sequences (Q2274641) (← links)
• LCox: a tool for selecting genes related to survival outcomes using longitudinal gene expression data (Q2324979) (← links)
• Simultaneous modelling of survival and longitudinal data with an application to repeated quality of life measures (Q2575265) (← links)
• Empirical likelihood inference for longitudinal data with covariate measurement errors: an application to the LEAN study (Q2674494) (← links)
• Method of sieves to jointly model survival and longitudinal data (Q2844446) (← links)
• A joint mixed effects dispersion model for menstrual cycle length and time-to-pregnancy (Q2912366) (← links)
• Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data (Q2920260) (← links)
• On Estimating the Relationship between Longitudinal Measurements and Time-to-Event Data Using a Simple Two-Stage Procedure (Q3064295) (← links)
• A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data (Q3079019) (← links)
• Joint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and rupture (Q3100760) (← links)
• Comparison of imputation methods for interval censored time-to-event data in joint modelling of tree growth and mortality (Q3174224) (← links)
• A Kernel Smooth Approach for Joint Modeling of Accelerated Failure Time and Longitudinal Data (Q3178529) (← links)
• Latent-Model Robustness in Joint Models for a Primary Endpoint and a Longitudinal Process (Q3183205) (← links)
• A Semiparametric Joint Model for Longitudinal and Survival Data with Application to Hemodialysis Study (Q3183207) (← links)
• Joint model of multiple longitudinal measures and a binary outcome: An application to predict orthostatic hypertension for subacute stroke patients (Q3451379) (← links)
• Modeling Longitudinal Data with Nonparametric Multiplicative Random Effects Jointly with Survival Data (Q3506505) (← links)
• Analysis of Longitudinal Data in the Presence of Informative Observational Times and a Dependent Terminal Event, with Application to Medical Cost Data (Q3530120) (← links)
• A Semiparametric Transition Model with Latent Traits for Longitudinal Multistate Data (Q3549390) (← links)
• Multiple-Imputation-Based Residuals and Diagnostic Plots for Joint Models of Longitudinal and Survival Outcomes (Q3561797) (← links)
• A Semi‐Parametric Shared Parameter Model to Handle Nonmonotone Nonignorable Missingness (Q3623742) (← links)
• Two-step and likelihood methods for joint models of longitudinal and survival data (Q4638799) (← links)
• Conditional Modeling of Longitudinal Data With Terminal Event (Q4690963) (← links)
• Joint modelling of longitudinal binary data and survival data (Q5034178) (← links)
• Joint models for a GLM-type longitudinal response and a time-to-event with smooth random effects (Q5036918) (← links)
• Bayesian Approach for Joint Modeling Longitudinal Data and Survival Data Simultaneously in Public Health Studies (Q5051103) (← links)
• A novel approach to estimate the Cox model with temporal covariates and application to medical cost data (Q5077523) (← links)
• Joint modeling of censored longitudinal and event time data (Q5128883) (← links)
• Joint modelling of longitudinal biomarker and gap time between recurrent events: copula-based dependence (Q5130307) (← links)
• Likelihood analysis of joint marginal and conditional models for longitudinal categorical data (Q5192946) (← 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)
• A likelihood based approach for joint modeling of longitudinal trajectories and informative censoring process (Q5866044) (← links)
• Discussion of: ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches'' (Q5966199) (← links)
• Review and Comparison of Computational Approaches for Joint Longitudinal and Time‐to‐Event Models (Q6086623) (← links)