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

- 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-.

- 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.

- 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

- 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).

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

- 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):
- Courses taught in the Master (MSc) in Engineering and Data Sciences (MECD):

Version 2.10 - Last update: 5-Sep-2024