Regression Analysis of Bivariate Current Status Data Using a Multistate Model

DOI10.1080/03610918.2012.705937zbMath1291.62129OpenAlexW2095223841MaRDI QIDQ5415861

Yang-Jin Kim

Publication date: 19 May 2014

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.705937

zbMATH Keywords

EM algorithmmultistate modelbivariate current status datatumorigenicity

Mathematics Subject Classification ID

Multivariate analysis (62H99) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Regression analysis of bivariate current status data under the gamma-frailty proportional hazards model using the EM algorithm

Cites Work

• The statistical analysis of interval-censored failure time data.
• Statistical Analysis of Illness-Death Processes and Semicompeting Risks Data
• Bayesian Models for Multivariate Current Status Data with Informative Censoring
• Bayesian Methods for a Three-State Model for Rodent Carcinogenicity Studies
• Multi-state Model for Dementia, Institutionalization, and Death
• A Multistate Model for Bivariate Interval‐Censored Failure Time Data
• A Proportional Hazards Model for Multivariate Interval‐Censored Failure Time Data