Pages that link to "Item:Q4468295"

The following pages link to Jointly Modeling Longitudinal and Event Time Data With Application to Acquired Immunodeficiency Syndrome (Q4468295):

Displaying 50 items.

• Stochastic model for analysis of longitudinal data on aging and mortality (Q97673) (← links)
• Jointly modeling time-to-event and longitudinal data: a Bayesian approach (Q257646) (← links)
• A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome (Q261568) (← links)
• Joint modeling of recurrent event processes and intermittently observed time-varying binary covariate processes (Q268692) (← links)
• Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule (Q425636) (← links)
• Regression analysis of longitudinal data with time-dependent covariates in the presence of informative observation and censoring times (Q538149) (← links)
• Semiparametric analysis of longitudinal data with informative observation times (Q628623) (← links)
• Joint modeling of failure time data with transformation model and longitudinal data when covariates are measured with errors (Q692708) (← 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)
• Analyzing longitudinal data with informative observation times under biased sampling (Q1017809) (← links)
• A latent process model for joint modeling of events and marker (Q1425053) (← links)
• Semiparametric Bayesian joint models of multivariate longitudinal and survival data (Q1623585) (← 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)
• Nonparametric Bayesian data analysis (Q1766317) (← links)
• Semiparametric transformation joint models for longitudinal covariates and interval-censored failure time (Q1796937) (← links)
• A new joint model for longitudinal and survival data with a cure fraction (Q1882932) (← links)
• A Bayesian inference for the penalized spline joint models of longitudinal and time-to-event data: a prior sensitivity analysis (Q1985373) (← links)
• Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers (Q2195902) (← links)
• Regression analysis of interval-censored failure time data with time-dependent covariates (Q2291291) (← links)
• Quantile regression-based Bayesian joint modeling analysis of longitudinal-survival data, with application to an AIDS cohort study (Q2308441) (← links)
• Estimation of reliability using failure-degradation data with explanatory variables (Q2452905) (← links)
• Analysis of joint multiple failure mode and linear degradation data with renewals (Q2455706) (← links)
• Functional approach of flexibly modelling generalized longitudinal data and survival time (Q2474384) (← links)
• Non-parametric estimation from simultaneous renewal -- failure -- degradation data with competing risks (Q2583813) (← links)
• Bayesian Nonparametric Biostatistics (Q2800188) (← links)
• Joint modeling of longitudinal data with a dependent terminal event (Q2807728) (← links)
• Regression analysis of longitudinal data with time-dependent covariates and informative observation times (Q2911716) (← links)
• A framework for the joint modeling of longitudinal diagnostic outcome data and latent infection status: application to investigating the temporal relationship between infection and disease (Q2912328) (← links)
• Joint modeling of multivariate longitudinal mixed measurements and time to event data using a Bayesian approach (Q2953255) (← links)
• Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival data (Q2956823) (← links)
• A Bayesian Semiparametric Joint Hierarchical Model for Longitudinal and Survival Data (Q3079101) (← links)
• A Bayesian Approach for Joint Modeling of Cluster Size and Subunit-Specific Outcomes (Q3079145) (← links)
• A Comparative Study of Approaches for Predicting Prostate Cancer from Longitudinal Data (Q3102898) (← 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 Modeling of Longitudinal and Survival Data via a Common Frailty (Q3445328) (← links)
• Modeling Longitudinal Biomarker Data from Multiple Assays that Have Different Known Detection Limits (Q3506503) (← links)
• Quantifying the Predictive Performance of Prognostic Models for Censored Survival Data with Time-Dependent Covariates (Q3506510) (← links)
• A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types (Q3530092) (← links)
• Semiparametric Modeling of Longitudinal Measurements and Time‐to‐Event Data–A Two‐Stage Regression Calibration Approach (Q3549419) (← links)
• Multiple-Imputation-Based Residuals and Diagnostic Plots for Joint Models of Longitudinal and Survival Outcomes (Q3561797) (← links)
• Joint Inference on HIV Viral Dynamics and Immune Suppression in Presence of Measurement Errors (Q3576906) (← links)
• Joint modelling of mixed outcome types using latent variables (Q3597444) (← links)
• A Stochastic Model for Analysis of Longitudinal AIDS Data (Q4314945) (← links)
• A Stochastic Model for the Analysis of Bivariate Longitudinal AIDS Data (Q4349968) (← links)
• Jointly modelling longitudinal and survival data (Q4496061) (← links)