A Bayesian Approach for Estimating Twin Similarity with Respect to a Binary Trait Under the Beta-Binomial Model | ||
| The Egyptian Statistical Journal | ||
| Article 2, Volume 55, Issue 1, June 2011, Pages 10-21 PDF (16.18 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/esju.2011.314308 | ||
| Authors | ||
| Marwa Ahmed; Mohamed Shoukri | ||
| Faculty of Graduate Studies and Statistical Research, Cairo University | ||
| Abstract | ||
| In twin studies there is a need to compare a sample of monozygotic to another independent sample of dizygotic twins with respect to the presence or absence of a specific disease or condition. A significant difference between the intracluster correlation coefficients between the two independent samples indicates the presence of a genetic component in the disease etiology, and is an estimate of twin similarity. In this paper, Bayesian statistical methodology is presented for the estimation of twin similarity with respect to a dichotomous trait. The parameter of interest is the difference between the intracluster correlation coefficients (ICC) of the two zygosity groups. Under the Beta- Binomial model, point and interval estimators for this difference, 4, are obtained. | ||
| Keywords | ||
| Beta; Binomial Model; Interval Estimation; Intracluster Correlation | ||
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