Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/469

Title: Hierarchical modelling approach for risk assessment in developmental toxicity studies
Authors: Faes, Christel
Geys, Helena
Aerts, Marc
Molenberghs, Geert
Keywords: Clustered data
Categorical data
Issue Date: 2003
Citation: Verbeke, Geert & Molenberghs, Geert & Aerts, Marc & Fieuws, Steffen (Ed.) Proceedings of the 18th International Workshop on Statistical Modelling. p. 137-142.
Abstract: Within the past decade, there has been an increasing interest in the problem of joint analysis of clustered multiple outcome data, motivated by developmental toxicity applications (Fitzmaurice and Laird 1995, Gueorguieva and Agresti 2001, Molenberghs and Ryan 1999, Regan and Catalano 1999, Aerts et al. 2002). So far however, one has tackled the challenges in this setting only partly each time making different restricting assumptions (e.g. restriction to viable fetuses only). Ideally, a model should take the complete correlated hierarchical structure of the data into account. A hierarchical bayesian method will be discussed in this context. Once a suitable model is selected, it can serve as basis for quantitative risk assessment.
URI: http://hdl.handle.net/1942/469
ISBN: 9080793418
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
N/A74.02 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.