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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2577

Title: Analysis of toxicology data with covariates specific to each observation
Authors: Geys, Helena
Molenberghs, Geert
Williams, Paige
Issue Date: 2002
Publisher: AMER STATISTICAL ASSOC & INTERNATIONAL BIOMETRIC SOC
Citation: JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 7(2). p. 176-190
Abstract: The standard approach for analysis of teratology studies is to use a population-averaged model with primary interest on evaluating dose-response effects. For example, generalized estimating equations (GEEs) have become popular for analysis of both developmental toxicity and reproductive studies (Ryan 1992). Such an approach is typically appropriate since the covariate of interest-exposure level-is constant for each litter of animals. Recently, however, there has been growing interest in evaluating effects of covariates that can vary between individuals within a cluster. This article explores several opportunities generated by teratology studies with individual-level covariates both in terms of modeling approaches and in decomposition of litter effects into genetic and environmental components.
Notes: Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium. Harvard Univ, Sch Publ Hlth, Boston, MA 02115 USA.
URI: http://hdl.handle.net/1942/2577
DOI: 10.1198/10857110260141229
ISI #: 000176010000004
ISSN: 1085-7117
Category: A1
Type: Journal Contribution
Validation: ecoom, 2003
Appears in Collections: Research publications

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