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World of Statistics  

Giovani Loiola da Silva
Doutor em Matemática (Universidade Técnica Lisboa)

Prof. Auxiliar
Departamento de Matemática
Instituto Superior Técnico
Av. Rovisco Pais, 1,
1049-001 Lisboa, Portugal

Giovani Loiola da Silva
  • Doutor em Matemática (PhD in Mathematics), IST - Universidade Técnica de Lisboa, 2001
  • Mestre em Estatística (MSc in Statistics), IME - Universidade de São Paulo, Brasil, 1992
  • Bacharel em Estatística (BSc in Statistics), DEMA - Universidade Federal do Ceará, Brasil, 1986
  • Estatística bayesiana (Bayesian statistics)
  • Análise de sobrevivência (Survival analysis)
  • Modelos espaço-temporais (Spatio-temporal models)
  • Modelos aditivos generalizados (Generalized additive models)
  • Modelos lineares generalizados (Generalized linear models)
  • Estatística computacional (Computational statistics)
Other Professional Activities:
  • Visiting investigator, Department of Statistics and Actuarial Science, University of Western Ontario, Canadá, 2014-2015
  • Visiting investigator, Department of Biostatistics and Informatics, University of Colorado Denver, EUA, 2015
  • Investigador visitante (Visiting investigator), Departamento de Estatística da Universidade Federal do Rio de Janeiro, 2011
  • Investigador (Investigator), Centro de Matemática e Aplicações, IST - Universidade Técnica de Lisboa, 2001-2006
  • Visiting investigator, Department of Statistics and Actuarial Science, Simon Fraser University, Canadá, 2004-2005
  • Auxiliar de Ensino (Teaching assistant), Departamento de Estatística, Universidade Federal de São Carlos, Brasil, 1990-1991
Courses Lectured:
  • Análise de Modelos Lineares (Linear Model Analysis) - Licenciatura de Matemática Aplicada e Computação (BSc in Applied Mathematics and Computation) do IST
  • Estatística Biomédica (Biomedical Statistics) - Mestrados em Matemática Aplicada e em Engenharia Biomédica (MSc in Applied Mathematics and Biomedical Engineering) do IST
  • Análise de Dados Categorizados (Categorical Data Analysis) - Licenciatura de Matemática Aplicada e Computação ((BSc in Applied Mathematics and Computation) do IST
  • Probabilidades e Estatística (Probability and Statistics) - Licenciaturas em Engenharia ((BSc in Various Engineering)) do IST
  • Inferência e Decisão I (Inference and Decision I) - Licenciatura de Matemática Aplicada e Computação ((BSc in Applied Mathematics and Computation)) do IST
  • Modelos Estocásticos (Stochastic Models) - Licenciaturas em Engenharia e Gestão Industrial (MSc in Engineering and Industrial Management) do IST
Most recent publications:
  • Juarez-Colunga, E., Silva, G.L. and Dean, C.B. (2017). Joint modeling of zero-inflated panel count and severity outcomes. Biometrics (In Press).
  • Coatti, G., Frangini, M., Valadares, M., Gomes, J., Lima, N., Cavaçana, N., Assoni, A., Pelatti, M., Birbrair, A., Pedroso de Lima, A., Singer, J., Rocha, F., Silva, G.L., Mantovani, M., Macedo-Souza, L., Ferrari, M., and Zatz, M. (2017). Pericytes extend survival of ALS SOD1 mice and induce expression of antioxidant enzymes in the murine model and in IPSCs derived motor neurons from an ALS patient. Stem Cell Reviews and Reports, 13 (5), 686-698.
  • Martins, R., Silva, G.L. and Andreozzi, V. (2017). Joint analysis of longitudinal and survival AIDS data with a spatial fraction of long-term survivors: A Bayesian approach. Biometrical Journal, 59 (6), 1166-1183.
  • Pinto, A.E., Pereira, T., Silva, G.L. and André, S. (2017). Prognostic relevance of DNA flow cytometry in breast cancer revisited: The 25-year experience of the Portuguese Institute of Oncology of Lisbon (Review). Oncology Letters, 13, 2027-2033.
  • Almendra, R., Santana, P., Vasconcelos, J., Silva, G.L., Gonçalves, F. and Ambrizzi, T. (2017). The influence of the winter North Atlantic Oscillation index on hospital admissions through diseases of the circulatory system in Lisbon, Portugal. International Journal of Biometeorology, 61, 325-333.
Other relevant publications:
  • 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.
  • 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 Statistcs, 27, 70-83.
  • 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.
  • 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.
  • 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.


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