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Identifying Influential Observations Through The Intraclass Correlation Coefficient, Angel De Jesus Davalos
Identifying Influential Observations Through The Intraclass Correlation Coefficient, Angel De Jesus Davalos
Open Access Theses & Dissertations
In this thesis, we analyze the performance of adapting the DFBETA statistic for identifying influential observations on the intraclass correlation coefficient under the assumptions of the one-way random effects model. Additionally, we introduce an approach for transforming negative intraclass correlation coefficient estimation values using the method of moments estimator. We apply this method on a data set of repeated blood pressure measurements, after which we will investigate implications of identifying influential observations.