The analysis of tumorigenicity data using a frailty effect

DOI10.1016/J.JKSS.2010.10.007zbMath1219.62170OpenAlexW2022611514MaRDI QIDQ634850

Youn Nam Kim, Jinheum Kim, Chung Mo Nam, Eun Hee Choi, Yang-Jin Kim

Publication date: 17 August 2011

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2010.10.007

zbMATH Keywords

EM algorithmcurrent status datathree-state model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)

Cites Work

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• Current status and right-censored data structures when observing a marker at the censoring time
• Efficient estimation for the proportional hazards model with interval censoring
• A Frailty Model for Informative Censoring
• Bayesian Methods for a Three-State Model for Rodent Carcinogenicity Studies
• Additive hazards regression with current status data
• Sieve Estimation for the Proportional-Odds Failure-Time Regression Model With Interval Censoring
• A Proportional Hazards Model for Multivariate Interval‐Censored Failure Time Data
• A Three-State Multiplicative Model for Rodent Tumorigenicity Experiments

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