Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event

DOI10.1080/01621459.2012.682528zbMath1261.62090OpenAlexW2082695817WikidataQ61458759 ScholiaQ61458759MaRDI QIDQ4916505

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Publication date: 22 April 2013

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2012.682528

zbMATH Keywords

Latent variablesEstimating equationsDependent observation timesInformative drop-outJoint modelingLongitudinal medical cost

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (24)

Joint modeling of recurrent event processes and intermittently observed time-varying binary covariate processes ⋮ Joint Analysis of Longitudinal Data and Informative Observation Times with Time-Dependent Random Effects ⋮ Joint analysis of panel count data with an informative observation process and a dependent terminal event ⋮ Analysis of a fixed center effect additive rates model for recurrent event data ⋮ Regression analysis of longitudinal data with correlated censoring and observation times ⋮ A class of Box-Cox transformation models for recurrent event data with a terminal event ⋮ A joint modeling approach for analyzing marker data in the presence of a terminal event ⋮ Weighted regression analysis to correct for informative monitoring times and confounders in longitudinal studies ⋮ Nonparametric inference for reversed mean models with panel count data ⋮ Functional Data Analysis for Longitudinal Data with Informative Observation Times ⋮ Nonparametric Estimation and Testing for Panel Count Data with Informative Terminal Event ⋮ Joint modeling of generalized scale-change models for recurrent event and failure time data ⋮ The Cox–Aalen model for recurrent‐event data with a dependent terminal event ⋮ Joint analysis of longitudinal data and competing terminal events in the presence of dependent observation times with application to chronic kidney disease ⋮ Semiparametric regression of multivariate panel count data with informative observation times ⋮ Analyzing longitudinal data with informative observation and terminal event times ⋮ Analysis of panel count data with time-dependent covariates and informative observation process ⋮ Time-varying latent model for longitudinal data with informative observation and terminal event times ⋮ Joint analysis of recurrent event data with additive-multiplicative hazards model for the terminal event time ⋮ Joint modeling of longitudinal data with a dependent terminal event ⋮ Joint modeling and estimation for longitudinal data with informative observation and terminal event times ⋮ Comparison of two frameworks for analyzing longitudinal data ⋮ Covariate-Adjusted Regression for Distorted Longitudinal Data With Informative Observation Times ⋮ Recurrent Events Analysis With Data Collected at Informative Clinical Visits in Electronic Health Records

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