Pages that link to "Item:Q3597961"

The following pages link to Joint modelling of accelerated failure time and longitudinal data (Q3597961):

Displaying 50 items.

• Stochastic model for analysis of longitudinal data on aging and mortality (Q97673) (← links)
• New estimates of odd exponents of infinite Burnside groups. (Q280998) (← links)
• Semiparametric efficient estimation for shared-frailty models with doubly-censored clustered data (Q292892) (← 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)
• Joint modeling of failure time data with transformation model and longitudinal data when covariates are measured with errors (Q692708) (← 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)
• A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects (Q746093) (← links)
• Analysis of longitudinal and survival data: joint modeling, inference methods, and issues (Q764437) (← links)
• Accelerated failure time model for multivariate two-stage current-status data with parallel and longitudinal correlated random effects (Q896592) (← 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)
• Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables (Q2057836) (← 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)
• Regression analysis of interval-censored failure time data with time-dependent covariates (Q2291291) (← links)
• Joint model of accelerated failure time and mechanistic nonlinear model for censored covariates, with application in HIV/AIDS (Q2291504) (← links)
• Duration of long-term care: socio-economic factors, type of care interactions and evolution (Q2292188) (← links)
• Identification of potential longitudinal biomarkers under the accelerated failure time model in multivariate survival data (Q2807714) (← links)
• The Method to Identify a Biomarker and to Evaluate Its Efficiency for Survival by Using the Joint Model of the Accelerate Failure Time and Longitudinal Data (Q2815342) (← links)
• Robust joint modeling of longitudinal measurements and time to event data using normal/independent distributions: a Bayesian approach (Q2857992) (← links)
• Using the Score Test to Identify the Longitudinal Biomarker Considering Accelerate Failure Time Model with the Frailty in Survival Analysis (Q2890113) (← links)
• Joint modeling of multivariate longitudinal mixed measurements and time to event data using a Bayesian approach (Q2953255) (← links)
• Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data (Q3100782) (← links)
• A Kernel Smooth Approach for Joint Modeling of Accelerated Failure Time and Longitudinal Data (Q3178529) (← 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)
• A Two-Part Joint Model for the Analysis of Survival and Longitudinal Binary Data with Excess Zeros (Q3506512) (← links)
• A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types (Q3530092) (← links)
• Joint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors (Q3576906) (← links)
• (Q3580860) (← links)
• Semiparametric inference for survival models with step process covariates (Q3636241) (← links)
• Joint modeling of linear degradation and failure time data with masked causes of failure under simple step-stress test (Q4960631) (← links)
• Joint modelling of longitudinal binary data and survival data (Q5034178) (← links)
• Joint analysis of longitudinal and interval-censored failure time data (Q5042131) (← 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)
• Joint modelling of longitudinal biomarker and gap time between recurrent events: copula-based dependence (Q5130307) (← links)
• Joint analysis of longitudinal data and competing terminal events in the presence of dependent observation times with application to chronic kidney disease (Q5138228) (← links)
• A shared parameter model of longitudinal measurements and survival time with heterogeneous random-effects distribution (Q5138748) (← links)
• Discussion of the paper ‘A general framework for functional regression modelling’ (Q5142164) (← links)
• Joint variable screening in the censored accelerated failure time model (Q5220376) (← links)
• Joint models for multiple longitudinal processes and time-to-event outcome (Q5221561) (← 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)
• An issue about the efficacy for the time-to-event outcome based on accelerated failure time model with interaction of unrecognized heterogeneity and main effect (Q5875253) (← links)
• Regression Analysis of Spatially Correlated Event Durations With Missing Origins Annotated by Longitudinal Measures (Q6069484) (← links)
• Review and Comparison of Computational Approaches for Joint Longitudinal and Time‐to‐Event Models (Q6086623) (← links)