Analysis of Antibody Data Using Skew-normal and Skew-T Mixture Models

• Autor(es): Dias Domingues , Tiago ; Mouriño, Helena ; Sepúlveda, Nuno
• Data: 2024
• Origem: REVSTAT-Statistical Journal
• Assunto(s): Finite mixture models; Skew-Normal; skew-t; seropositivity
• Tipo de Documento: Artigo científico
• Idioma: Inglês

Descrição

Gaussian mixture models, which assume a Normal distribution for each component, are popular in antibody (or serological) data analysis to help determining antibody-positive and antibody-negative individuals. In this work, we advocate using finite mixture models based on Skew-Normal and Skew-t distributions for serological data analysis. These flexible mixing distributions have the advantage of describing right and left asymmetry often observed in the distributions of known antibody-negative and antibody-positive individuals, respectively. We illustrate the application of these alternative mixture models in a data set on the role of human herpesviruses in the Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.