A comparison of a mixture likelihood method and the EM algorithm for an estimation problem in animal carcinogenicity studies

DOI10.1016/S0167-9473(99)00011-0zbMath0935.62125MaRDI QIDQ1960596

Hongshik Ahn, Hojin Moon, Ralph L. Kodell, Bruce A. Pearce

Publication date: 12 January 2000

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

likelihoodconstrained optimizationcause of deathcomplex methodinterval sacrifice

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Point estimation (62F10)

Related Items

On EM algorithms and their proximal generalizations

Uses Software

• ACSSCode

Cites Work

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• Analytic expressions for maximum likelihood estimators in a nonparametric model of tumor incidence and death
• Nonparametric Methods for Survival/Sacrifice Experiments
• Constant Risk Differences in the Analysis of Animal Tumorigenicity Data
• A Three-State Multiplicative Model for Rodent Tumorigenicity Experiments
• A New Method of Constrained Optimization and a Comparison With Other Methods