Bootstrapping an empirical Bayes estimator of the distribution of historical controls in carcinogen bioassay

DOI10.1016/0378-3758(94)00021-MzbMath0812.62101OpenAlexW1991761127MaRDI QIDQ1345566

Mieczyslaw Szyszkowicz, Robert T. Smythe, Daniel Krewski, Anup Dewanji

Publication date: 26 April 1995

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(94)00021-m

zbMATH Keywords

bioassaybootstrap variance estimatorcarcinogenicitytests for trenddiscrete uniform distributiondiscrete empirical Bayes shrinkage estimatorgeneralized score testshistorical control tumor response probabilitieslogistic dose response modeltumor occurrence rates

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric statistical resampling methods (62G09) Empirical decision procedures; empirical Bayes procedures (62C12)

Cites Work

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• The use of historical control information in modelling dose response relationships in carcinogenesis
• Combining Historical and Randomized Controls for Assessing Trends in Proportions
• Incorporating Historical Controls in Testing for a Trend in Proportions
• Algorithm AS 221: Maximum Likelihood Estimation of a Mixing Distribution
• Empirical Bayes Confidence Intervals Based on Bootstrap Samples
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
• Stein's Estimation Rule and Its Competitors--An Empirical Bayes Approach

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