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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 | Source: | 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. | Keywords: | cluster specic; correlated binary data; developmental toxicology; generalized estimating equations; marginal model; population averaged;cluster specific; correlated binary data; developmental toxicology; generalized estimating equations; marginal model; population averaged | Document URI: | http://hdl.handle.net/1942/2577 | ISSN: | 1085-7117 | e-ISSN: | 1537-2693 | DOI: | 10.1198/10857110260141229 | ISI #: | 000176010000004 | Rights: | (C) 2002 American Statistical Association and the International Biometric Society | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2003 |
Appears in Collections: | Research publications |
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