Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/4033
Title: On the use of historical control data in pre-clinical safety studies
Authors: MARINGWA, John 
FAES, Christel 
AERTS, Marc 
GEYS, Helena 
TEUNS, Greet 
Van Den Poel, B.
BIJNENS, Luc 
Issue Date: 2007
Publisher: TAYLOR & FRANCIS INC
Source: JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 17(3). p. 493-509
Abstract: A number of methods to formally incorporate historical control information in preclinical safety evaluation studies have been proposed in literature. However, it remains unclear when one should use historical data. Focusing on the logistic-normal model, we investigate situations where historical studies may prove to be useful. Aspects of estimation (precision and bias) and testing (power) for treatment effect are investigated under different conditions such as the number of historical control studies, the degree of homogeneity amongst them, the level of treatment effect and different control rates. The possibility to use a selected subset of historical control studies is also explored.
Notes: Univ Hasselt, Ctr Stat, BE-3500 Diepenbeek, Belgium. Johnson & Johnson Pharmaceut Res & Dev, Beerse, Belgium.MARRINGWA, JT, Univ Hasselt, Ctr Stat, BE-3500 Diepenbeek, Belgium.john.maringwa@uhasselt.be
Keywords: bias; dose-trend; empirical Bayes estimates; examined study; historical control studies; logistic-normal model; power; precision
Document URI: http://hdl.handle.net/1942/4033
ISSN: 1054-3406
e-ISSN: 1520-5711
DOI: 10.1080/10543400701216355
ISI #: 000246725000010
Category: A1
Type: Journal Contribution
Validations: ecoom 2008
Appears in Collections:Research publications

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