Mathematical aspects of estimating two treatment effects and a common variance in an assured allocation design

DOI10.1016/S0378-3758(02)00312-9zbMath1021.62092OpenAlexW1984070422MaRDI QIDQ1866235

Herbert Robbins, Cun-Hui Zhang, Bruce R. Levin

Publication date: 3 April 2003

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

Full work available at URL: https://doi.org/10.1016/s0378-3758(02)00312-9

zbMATH Keywords

inequalitiessemiparametric modelsnormal distributionvariance estimationmixture modelsempirical Bayes estimationassured allocation designcontrolled clinical trials

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (1)

Compound decision theory and empirical Bayes methods

Cites Work

• Estimating a treatment effect under biased sampling.
• Estimating the superiority of a drug to a placebo when all and only those patients at risk are treated with the drug.
• Estimating a multiplicative treatment effect under biased allocation

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