Pages that link to "Item:Q3530120"

The following pages link to Analysis of Longitudinal Data in the Presence of Informative Observational Times and a Dependent Terminal Event, with Application to Medical Cost Data (Q3530120):

Displaying 47 items.

• Analyzing longitudinal data with informative observation and terminal event times (Q519251) (← links)
• Time-varying latent model for longitudinal data with informative observation and terminal event times (Q525895) (← links)
• Regression analysis of longitudinal data with time-dependent covariates in the presence of informative observation and censoring times (Q538149) (← links)
• Joint analysis of recurrent event data with additive-multiplicative hazards model for the terminal event time (Q723449) (← links)
• A random effects four-part model, with application to correlated medical costs (Q1023789) (← links)
• Comparison of two frameworks for analyzing longitudinal data (Q2075707) (← links)
• GPU accelerated estimation of a shared random effect joint model for dynamic prediction (Q2157530) (← links)
• Nonparametric inference for the joint distribution of recurrent marked variables and recurrent survival time (Q2356623) (← links)
• Robust estimation for panel count data with informative observation times (Q2359454) (← links)
• A class of Box-Cox transformation models for recurrent event data with a terminal event (Q2404092) (← links)
• Evaluating costs with unmeasured confounding: a sensitivity analysis for the treatment effect (Q2441849) (← links)
• Estimation of medical costs by copula models with dynamic change of health status (Q2445362) (← links)
• An extension of estimating equations to model longitudinal medical cost trajectory with medicare claims data linked to SEER cancer registry (Q2686085) (← links)
• Joint frailty models for zero-inflated recurrent events in the presence of a terminal event (Q2805201) (← links)
• Joint modeling of longitudinal data with a dependent terminal event (Q2807728) (← links)
• Joint model for left-censored longitudinal data, recurrent events and terminal event: predictive abilities of tumor burden for cancer evolution with application to the FFCD 2000--05 trial (Q2827208) (← links)
• Joint modeling and estimation for longitudinal data with informative observation and terminal event times (Q2832649) (← links)
• Analyzing panel count data with a dependent observation process and a terminal event (Q2852559) (← links)
• Regression analysis of longitudinal data with time-dependent covariates and informative observation times (Q2911716) (← links)
• Robust estimation for longitudinal data with informative observation times (Q3463397) (← links)
• Regression analysis of mixed recurrent‐event and panel‐count data with additive rate models (Q3465725) (← links)
• Multiple-Imputation-Based Residuals and Diagnostic Plots for Joint Models of Longitudinal and Survival Outcomes (Q3561797) (← links)
• Joint analysis of longitudinal data and recurrent episodes data with application to medical cost analysis (Q4902185) (← links)
• Time‐Varying Latent Effect Model for Longitudinal Data with Informative Observation Times (Q4911932) (← links)
• Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event (Q4916505) (← links)
• Semiparametric Estimation of Longitudinal Medical Cost Trajectory (Q4962425) (← links)
• Recurrent Events Analysis With Data Collected at Informative Clinical Visits in Electronic Health Records (Q4999135) (← links)
• Semiparametric analysis of longitudinal data with informative observation times and censoring times (Q5036464) (← links)
• Quantile regression for massive data with network-induced dependence, and application to the New York statewide planning and research cooperative system (Q5081038) (← 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 Conditional Approach for Regression Analysis of Longitudinal Data with Informative Observation Time and Non-negligible Observation Duration (Q5177599) (← 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 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)
• A likelihood based approach for joint modeling of longitudinal trajectories and informative censoring process (Q5866044) (← links)
• A joint modeling approach for analyzing marker data in the presence of a terminal event (Q6047799) (← links)
• Mixed‐effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study (Q6067656) (← links)
• Joint modeling of generalized scale-change models for recurrent event and failure time data (Q6099539) (← links)
• The Cox–Aalen model for recurrent‐event data with a dependent terminal event (Q6147750) (← links)
• Joint modeling of multistate and nonparametric multivariate longitudinal data (Q6616397) (← links)
• Dynamic prediction of disease processes based on recurrent history and functional principal component analysis of longitudinal biomarkers: application for ovarian epithelial cancer (Q6627742) (← links)
• Dynamic semiparametric transformation models for recurrent event data with a terminal event (Q6629382) (← links)
• Modeling multiple correlated end-organ disease trajectories: a tutorial for multistate and joint models with applications in diabetes complications (Q6630349) (← links)
• Median analysis of repeated measures associated with recurrent events in presence of terminal event (Q6636142) (← links)
• Joint models of longitudinal and time-to-event data with more than one event time outcome: a review (Q6636164) (← links)
• Trivariate joint modeling for family data with longitudinal counts, recurrent events and a terminal event with application to lynch syndrome (Q6663863) (← links)
• A copula model for marked point process with a terminal event: an application in dynamic prediction of insurance claims (Q6665456) (← links)