A Multistate Model for Bivariate Interval‐Censored Failure Time Data

DOI10.1111/J.1541-0420.2007.00978.XzbMath1152.62078OpenAlexW2025742107WikidataQ31143773 ScholiaQ31143773MaRDI QIDQ3549398

Leilei Zeng, Ker-Ai Lee, Richard J. Cook

Publication date: 22 December 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10012/10257

zbMATH Keywords

EM algorithminterval censoringMarkov modelbivariate failure time

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Medical applications (general) (92C50)

Related Items (9)

A correlated random effects model for non-homogeneous Markov processes with nonignorable missingness ⋮ Analysis of clustered interval‐censored data using a class of semiparametric partly linear frailty transformation models ⋮ Cure rate model with bivariate interval censored data ⋮ Non-homogeneous Markov process models with informative observations with an application to Alzheimer's disease ⋮ Second-order estimating equations for the analysis of clustered current status data ⋮ Regression Analysis of Bivariate Current Status Data Using a Multistate Model ⋮ Study of an imputation algorithm for the analysis of interval-censored data ⋮ Robust Estimation of State Occupancy Probabilities for Interval-Censored Multistate Data: An Application Involving Spondylitis in Psoriatic Arthritis ⋮ Pragmatic Analysis of Longitudinal Data on Disease Activity in Systemic Lupus Erythematosus

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