- Dias-Domingues, T., Mouriño, H., Sepúlveda, N. (2024). Classification methods for the serological status based on mixtures of Skew-Normal and Skew-t distributions. Mathematics, Probability and Statistics section, 12(2). DOI: https://doi.org/10.3390/math12020217
- Domingues, T.D., Malato, J., Grabowska, A., Lee, J., Ameijeiras-Alonso, J., Biecek, P., Graça, L., Mouriño, H., Scheibenbogen, C., Westermeier, F., Nacul, L., Cliff, J., Lacerda, E., Sepúlveda, N. (2023). Association analysis between symptomology and herpesvirus IgG antibody concentrations in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and multiple sclerosis. Heliyon. DOI: https://doi.org/10.1016/j.heliyon.2023.e18250
- Domingues, T., Mouriño, H., Sepúlveda, N. (2022).Analysis of antibody data using Skew-Normal and Skew-t mixture models. REVSTAT-Stat. J. Available online: https://revstat.ine.pt/index.php/REVSTAT/article/view/455
- Domingues, T.D., Grabowska, AD., Lee, J-S., Ameijeiras-Alonso, J., Westermeier, F., Scheibenbogen, C., Cliff, JM., Nacul, L., Lacerda, EM. and Mouriño, H., Sepúlveda, N. (2021). Herpesviruses Serology Distinguishes Different Subgroups of Patients From the United Kingdom Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Biobank. Frontiers in Medicine, 8:686736. DOI: https://doi.org/10.3389/fmed.2021.686736
- Moreira,J., Prata, S., Domingues, T.D., Leal, R.O., Nunes, T., Tavares, L., Almeida, V., Sepúlveda, N., Gil, S. (2020). Detection and modeling of anti-Leptospira IgG prevalence in cats from Lisbon area and its correlation to retroviral infections, lifestyle, clinical and hematologic changes. Veterinary and animal science, DOI: https://doi.org/10.1016/j.vas.2020.100144
Tiago Dias Domingues
Contactos
Departamento de Ciências MatemáticasSala/Gabinete 6.4.17
Email tmdomingues@ciencias.ulisboa.pt
Página Pessoal
Carreira Docente Universitário
Categoria Professor Auxiliar
Currículo Resumido
Tiago Miguel Dias Domingues graduated from the Faculty of Sciences of the University of Lisbon with a degree in Mathematics, a Master degree in Biostatistics and a PhD in Statistics and Operations Research, specialty in Biostatistics and Bioinformatics. He has been teaching probability and statistics at bachelor's and master's level. During his career, he had the opportunity to work in private health consultancy companies, as well as in public positions, namely at the Instituto Português de Oncologia, Francisco Gentil E.P.E. Regarding his research, he has contributed to the field of Medical Statistics through collaborations with public and private institutions in the health sector. His main focus has been on classification problems in diagnostic tests using serologies.
Publicações selecionadas
Prizes and Awards
2024-04-23 - Menções honrosas de Docência de Excelência em Ciências (Faculdade de Ciências da Universidade de Lisboa)