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.
Ahmed, M., & Shoukri, M. (2011). A Bayesian Approach for Estimating Twin Similarity with Respect to a Binary Trait Under the Beta-Binomial Model. The Egyptian Statistical Journal, 55(1), 10-21. doi: 10.21608/esju.2011.314308
MLA
Marwa Ahmed; Mohamed Shoukri. "A Bayesian Approach for Estimating Twin Similarity with Respect to a Binary Trait Under the Beta-Binomial Model", The Egyptian Statistical Journal, 55, 1, 2011, 10-21. doi: 10.21608/esju.2011.314308
HARVARD
Ahmed, M., Shoukri, M. (2011). 'A Bayesian Approach for Estimating Twin Similarity with Respect to a Binary Trait Under the Beta-Binomial Model', The Egyptian Statistical Journal, 55(1), pp. 10-21. doi: 10.21608/esju.2011.314308
VANCOUVER
Ahmed, M., Shoukri, M. A Bayesian Approach for Estimating Twin Similarity with Respect to a Binary Trait Under the Beta-Binomial Model. The Egyptian Statistical Journal, 2011; 55(1): 10-21. doi: 10.21608/esju.2011.314308
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