Abstract: Genome-Wide Complex Trait Analysis of Shared Genetic Effects Between Brain Electrophysiology Measures and Alcohol Dependence |
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| Authors: | Leslie Ann D. Brick Valerie S. Knopik Wayne F. Velicer Rohan Palmer |
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| Affiliation: | 1. Division of Behavioral Genetics, Department of Psychiatry at Rhode Island Hospital;2. and Cancer Prevention Research Center, University of Rhode Islandleslie.brick@gmail.com;4. and Department of Psychiatry and Human Behavior, Brown University;5. Cancer Prevention Research Center, University of Rhode Island |
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| Abstract: | Multilevel analysis is an appropriate tool for the analysis of hierarchically structured data. There may, however, be reasons to ignore one of the levels of nesting in the data analysis. In this article a three level model with one predictor variable is used as a reference model and the top or intermediate level is ignored in the data analysis. Analytical results show that this has an effect on the estimated variance components and that standard errors of regression coefficients estimators may be overestimated, leading to a lower power of the test of the effect of the predictor variable. The magnitude of these results depends on the ignored level and the level at which the predictor variable varies, and on the values of the variance components and the sample sizes. |
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