Empirical Bayes Estimation for Combinations of Multivariate Bioassays

DOI10.1111/J.0006-341X.1999.01038.XzbMath1059.62508WikidataQ52065194 ScholiaQ52065194MaRDI QIDQ4668302

Ding-Geng Chen, Peter T. Kim, J. J. Hubert, Edward M. Carter

Publication date: 18 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

posterior distributionprior informationE-M algorithmrelative potencyJeffreys' rules

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (3)

Incorporating historical control information into quantal bioassay with Bayesian approach ⋮ Combining Multivariate Bioassays: Accurate Inference Using Small Sample Asymptotics ⋮ Bootstrapping estimation for estimating relative potency in combinations of bioassays

Cites Work

• Unnamed Item
• Combining Multivariate Bioassays
• Bayesian Inference for Ratios of Coefficients in a Linear Model
• Multivariate Bioassay, Combination of Bioassays, and Fieller's Theorem
• Combination of Multivariate Bioassay Results
• Analysis of Parallel-Line Assays with Multivariate Responses
• Multivariate Slope Ratio Assay with Repeated Measurements
• Shrinkage Estimators of Relative Potency
• A Bayesian Look at Inverse Linear Regression
• Multivariate Bioassay
• Multivariate Bioassay

This page was built for publication: Empirical Bayes Estimation for Combinations of Multivariate Bioassays