The use of historical control information in modelling dose response relationships in carcinogenesis

DOI10.1016/0167-7152(86)90023-4zbMath0585.62178OpenAlexW2061729249MaRDI QIDQ1070731

Robert T. Smythe, Daniel Krewski, Duncan J. Murdoch

Publication date: 1986

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(86)90023-4

zbMATH Keywords

maximum likelihood estimatorempirical Bayes estimatorcarcinogenicity bioassaysestimates of quantiles of the dose response curvehistorical control response ratesthree-parameter logistic modeltwo-parameter linear logistic model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (5)

Bootstrapping an empirical Bayes estimator of the distribution of historical controls in carcinogen bioassay ⋮ Empirical Bayes Sequential Estimation of Binomial Probabilities ⋮ The use of historical controls in estimating simultaneous confidence intervals for comparisons against a concurrent control ⋮ A comparison of tests for trend with historical controls in carcinogen bioassay ⋮ Incorporating historical control information into quantal bioassay with Bayesian approach

Cites Work

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• Combining Historical and Randomized Controls for Assessing Trends in Proportions
• On the Robustness of Combined Tests for Trends in Proportions
• Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information

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