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Analysis of toxicology data with covariates specific to each observation
| Content Provider | Scilit |
|---|---|
| Author | Geys, Helena Molenberghs, Geert Williams, Paige |
| Copyright Year | 2002 |
| Description | Journal: Journal of Agricultural, Biological and Environmental Statistics The standard approach for analysis of teratology studiesis 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 reproducti vestudies (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. |
| Related Links | http://link.springer.com/content/pdf/10.1198%2F10857110260141229.pdf |
| Ending Page | 190 |
| Page Count | 15 |
| Starting Page | 176 |
| ISSN | 10857117 |
| e-ISSN | 15372693 |
| DOI | 10.1198/10857110260141229 |
| Journal | Journal of Agricultural, Biological and Environmental Statistics |
| Issue Number | 2 |
| Volume Number | 7 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2002-06-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Agricultural, Biological and Environmental Statistics Cluster Specific Correlated Binary Data Developmental Toxicology Generalized Estimating Equations Marginal Model Population Averaged |
| Content Type | Text |
| Subject | Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty |