BEFORE

Departamento de Matemática Instituto Superior Técnico Av. Rovisco Pais, 1, 1049-001 Lisboa PORTUGAL Tel. + 351 218417043 Fax. + 351 218417035 E-mail

AFTER

News:

• Vigas, V.P., Ortega, E M.M., Cordeiro, G.M., Silva, G.L., Santos Junior, P.C. dos (2024). A new regression model under informative censoring mechanism with applications. Communications in Statistics - Theory and Methods. DOI: 10.1080/03610926.2024.2371487.
• First member of the SPE Executive Committee, 2024-2026.
• Member of the scientific and organizing committees of the Institute of Mathematical Statistics (IMS) II International Conference on Statistics and Data Science (ICSDS2023), Lisbon - Portugal, 18-21/12/2023.
• Member of the European Project Cinderella that intends to test and validate the implementation of an AI-based tool for a safer and evidence-based clinical decision for breast cancer patients (Champalimaud Foundation).

• Assistant professor at the Department of Mathematics of the Instituto Superior Técnico (IST), Universidade de Lisboa.
• Integrated PhD member of the Center of Statistics and Applications (CEAUL), 2007-.

Academic degrees:

• PhD in Mathematics at IST, Universidade de Lisboa, supervised by Antónia Amaral Turkman of the Faculty of Sciences and cosupervised by Carlos Daniel Paulino of IST.
• MSc in Statistics in the Institute of Mathematics and Statistics, University of São Paulo, supervised by Gilberto A. Paula.
• BSc in Statistics at the Federal University of Ceará.

Other informations:

• President of the SPE Biometry Section, 2017-2018.
• Member of the General Meeting of the SPE, 2021-2023.
• Member of the thematic network in Biostatistics BIOSTATNET, 2010-.
• Member of the Brazilian Statistical Association (ABE), Portuguese Statistical Society (SPE), International Society for Bayesian Analysis (ISBA) and International Biometric Society (IBS).
• ORCID ID: 0000-0002-7434-2383; Scopus ID: 7101647473; ResearcherID: X-7269-2019; MR Author ID: 651476; ResearchGate; ScholarGoogle.

• Silva, G.L., Sequeira, I., Prata Gomes, D., Rueff, J., and Brás, A. (2024). An application of logistic regression model to the study of constitutional imbalances in human chromosomal fragile sites. Research in Statistics, 2(1), 2331110. DOI: 10.1080/27684520.2024.2331110.
• Gasparinho, C., Gonçalves, M.H., Chissaque, A., Silva, G.L., Fortes, F., Gonçalves, L. (2022). Wasting, stunting, and anemia in Angolan children after deworming with Albendazole or a test-and-treat approach for intestinal parasites: binary longitudinal models with temporal structure in a four-arm randomized trial. Nutrients, 14, 2185. DOI: 10.3390/nu14112185.
• Singer, J.M., Rocha, F.M.M., Pedroso-de-Lima, A.C., Silva, G.L., Coatti, G.C., and Zatz, M. (2021). Random changepoint segmented regression with smooth transition. Statistical Methods in Medical Research, 30, 643-654. Info
• Paulino, C.D. and Silva, G.L. (2019). Bayesian comparison of diagnostic tests with largely non-informative missing data. Journal of Statistical Computation and Simulation, 89, 1877-1886. Info
• Juarez-Colunga, E., Silva, G.L. and Dean, C.B. (2017). Joint modeling of zero-inflated panel count and severity outcomes. Biometrics, 73, 1413-1423. Info
• Martins, R., Silva, G.L. and Andreozzi, V. (2016). Bayesian joint modeling of longitudinal and spatial survival AIDS data. Statistics in Medicine, 35, 3368-3384. Info
• Silva, G.L., Soares, P., Marques, S., Dias, M.I., Oliveira, M.M. and Borges, J.G. (2015). A Bayesian modelling of wildfires in Portugal. In Bourguignon, J.P., Jeltsch, R., Pinto, A. and Viana, M. (Editors), Dynamics, Games and Science III - International Conference and Advanced School Planet Earth DGS II, CIM Series in Mathematical Sciences, Springer-Verlag, pg. 723-733. Info
• Pinto, A.E., Pereira, T., Cardoso, P., Aparício, M., Silva, G.L., and André, S. (2015). Clinical relevance of the reappraisal of negative hormone receptor expression in breast cancer. SpringerPlus, 2, 375. Info
• Vasconcelos, J. Freire, E., Almendra, R., Silva, G.L. and Santana, P. (2013). The impact of winter cold weather on acute myocardial infarctions in Portugal. Environmental Pollution, 183, 14-18. Info
• Paulino, C.D.M., Silva, G.L. and Branco, M.D. (2013). A fully Bayesian parametric approach for cytogenetic dosimetry. Brazilian Journal of Probability and Statistics, 27, 70-83. Info
• Silva, G.L., Dean, C.B., Niyonsenga, T. and Vanasse, A. (2008). Hierarchical Bayesian spatiotemporal analysis of revascularization odds using smoothing splines. Statistics in Medicine, 27, 2381-2401. Info
• Paulino, C.D.M., Silva, G.L. and Achcar, J. (2005). Bayesian analysis of correlated misclassified binary data. Computational Statistical and Data Analysis, 49, 1120-1131. Info
• Silva, G.L. and Amaral Turkman, M.A. (2004). Bayesian analysis of an additive survival model with frailty. Communications in Statistics - Theory and Methods, 33, 2517-2533. Info

Books and dissertations:

• Paulino, C.D., Amaral Turkman, M.A., Murteira, B. and Silva, G.L. (2018). Bayesian Statistics - 2nd edition. Fundação Calouste Gulbenkian, Lisbon (601p). (in Portuguese).
• Silva, G.L. and Dean, C.B. (2006). An Introduction to Spatio-temporal Methods for Rates, Proportions and Multi-state Processes. ABE Editors, Brazilian Statistical Association, Caxambú (112p). Content. (in Portuguese)
• Silva, G. L. (2001). Bayesian Analysis of Survival Models with Frailty. PhD Thesis, IST, Technical University of Lisbon (184pg). Abstract. (in Portuguese).
• Amaral Turkman, M.A. and Silva, G.L. (2000). Generalized Linear Models. SPE Editors, Portuguese Statistical Society, Peniche (151p). ebook.pdf. (in Portuguese).
• Silva, G.L. (1992). Logistic Models for Binary Data. Master Dissertation, IME, University of Sao Paulo (118pg). Abstract. (in Portuguese).

Main interests:

• Bayesian Statistics
• Survival Analysis
• Computational Statistics
• Joint (Mixed) Models
• Spatio-Temporal Models
• Generalized Linear Models
• Generalized Additive Models
• Biometrics

Editorial positions:

• Co-Editor of the REVSTAT: Statistical Journal (REVSTAT), 2019-2023.
• Associate Editor of the Brazilian Journal of Probability and Statistics (BJPS), 2015-.
• Associate Editor of the Chilean Journal of Statistics (CJS), 2019-.

Dissertation proposals:

• Bayesian survival analysis with correlated frailties.
• Disease mapping: A Bayesian spatio-temporal analysis.

• Courses taught in the Degree (BSc) in Applied Mathematics and Computation (LMAC):
  • Linear Models Analysis
  • Inference and Decision I
  • Categorical Data Analysis (in Portuguese)
• Courses taught in the Degree (BSc) in Engineering:
  • Probability and Statistics
  • Stochastic Models (in Portuguese)
• Courses taught in the Master (MSc) in Applied Mathematics and Computation (MMAC):
  • Applied Bayesian Statistics
  • Biomedical Statistics
• Courses taught in the Master (MSc) in Engineering and Data Sciences (MECD):
  • Computational Statistics

Version 2.10 - Last update: 5-Sep-2024