Research
Working Papers
Harnessing Machine Learning for Real-Time Inflation Nowcasting (jointly with R. Schnnorrenberger and G. Valle Moura) (Previously circulated as Inflation nowcasting in persistently high inflation environments). DNB working paper n. 806. Available here. A policy note based on this project can be read here: SUERF Policy Brief | No. 922 | 4 Jul, 2024.
Papers published in peer-reviewed journals
Obs: my published papers below are from my "previous life" as a Statistics student. Giacomazzi, J. et al. Prevalence of ERα-397 PvuII C/T, ERα-351 XbaI A/G and PGR PROGINS polymorphisms in Brazilian breast cancer-unaffected women. Brazilian Journal of Medical and Biological Research on line, v. 45, p. 891-897, 2012. [Full text]
Aguiar, E. S. et al . GSTM1, GSTT1, and GSTP1 polymorphisms, breast cancer risk factors and mammographic density in women submitted to breast cancer screening. Revista Brasileira de Epidemiologia (Impresso), v. 15, p. 246-255, 2012. [Full text]
Belo-Reyes, Vanessa et al . Breast cancer risk estimates, body mass index and breast density in women submitted to mammographic screening in an underserved population. Cadernos Saúde Coletiva (UFRJ), v. XX, p. 367, 2012. [Full text]
Ewald, Ingrid P et al . Prevalence of the BRCA1 founder mutation c.5266dup in Brazilian individuals at-risk for the Hereditary Breast and Ovarian Cancer Syndrome. Hereditary Cancer in Clinical Practice (Online), v. 9, p. 12, 2011. [Full text]
GIACOMAZZI, J. et al. Prevalence of the STK15 F31I polymorphism and its relationship with mammographic density. Brazilian Journal of Medical and Biological Research on line, v. 44, p. 291-296, 2011. [Full text]
Ashton-Prolla, Patricia et al. Development and validation of a simple questionnaire for the identification of hereditary breast cancer in primary care. BMC Cancer (Online), v. 9, p. 283, 2009. [Full text]
