Incorporating historical controls using a random-effects model with a normal prior

Employing a variance stabilization transformation, a random-effects model with a normal prior is proposed for incorporating historical controls in the estimation of dose-response relationships. The advantages and disadvantages of maximum likelihood and empirical Bayes estimators are discussed. A two...

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Veröffentlicht in:	Communications in statistics. Theory and methods 1991-01, Vol.20 (4), p.1273-1291
Hauptverfasser:	Kikuchi, Yasuki, Yanagawa, Takashi
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences dose-response relationship empirical bayes estimator estimation of binomial proportions Fundamental and applied biological sciences. Psychology General aspects Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) preliminary test variance stabilization
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Zusammenfassung:	Employing a variance stabilization transformation, a random-effects model with a normal prior is proposed for incorporating historical controls in the estimation of dose-response relationships. The advantages and disadvantages of maximum likelihood and empirical Bayes estimators are discussed. A two-stage method is introduced for the prudent use of historical controls.
ISSN:	0361-0926 1532-415X
DOI:	10.1080/03610929108830564