Henrique Laureano

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Senior Data Scientist @ Volvo Group

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Papers

Published

  1. Free amino acid content in trunk, branches and branchlets of Araucaria angustifolia (Araucariaceae)
    C. Hackbarth, P. Soffiatti, F. Zanette, E. I. S. Floh, A. F. Macedo, H. A. Laureano
    Journal of Forestry Research 29 (2018), 1489–1496

  2. Preconsolidation stress of gibbsitic and kaolinitic Oxisols under a multipractice conservationist coffee system
    C. E. Carducci, G. C. de Oliveira, W. M. Zeviani, H. A. Laureano, S. M. Barbosa, E. C. Severiano, N. Curi
    SEMINA: Ciências Agrárias 42(3) (2021), 1049–1068

  3. Unit gamma mixed regression models for continuous bounded data
    R. R. Petterle, C. A. Taconeli, J. L. P. da Silva, G. P. da Silva, H. A. Laureano, W. H. Bonat
    Journal of Statistical Computation and Simulation 93(6) (2021)

  4. Multivariate generalized linear mixed models for continuous bounded outcomes: Analyzing the body fat percentage data
    R. R. Petterle, H. A. Laureano, G. P. da Silva, W. H. Bonat
    Statistical Methods in Medical Research 30(12) (2021), 2619-2633

  5. Newborn Screening for the Detection of the TP53 R337H Variant and Surveillance for Early Diagnosis of Pediatric Adrenocortical Tumors: Lessons Learned and Way Forward
    K. C. F. Tosin, E. F. Legal, M. A. D. Pianovski, H. C. Ibañez, G. Custódio, D. S. Carvalho, M. M. O. Figueiredo, A. Hoffmann Filho, C. M. C. M. Fiori, A. L. M. Rodrigues, R. G. Mello, K. R. P. Ogradowski, I. Z. S. Parise, T. E. J. Costa, V. S. Melanda, F. M. Watanabe, D. B. Silva, H. Komechen, H. A. Laureano, E. K. Carboni, A. P. Kuczynski, G. C. F. Luiz, L. Lima, T. Tormen, V. K. Q. Gerber, T. H. Anegawa, S. G. A. Avilla, R. B. Tenório, E. L. Mendes, R. D. F. Donin, J. Souza, V. N. Kozak, G. S. Oliveira, D. C. Souza, I. Gomy, V. B. Teixeira, H. H. L. Borba, N. Kiesel Filho, G. A. Parise, R. C. Ribeiro, B. C. Figueiredo
    Cancers 13(23) (2021), 6111

  6. Occupational exposure to pesticides and its association with telomere length - A systematic review and meta-analysis
    J. D. C. Passos, K. Felisbino, H. A. Laureano, I. C. Guiloski
    Science of the Total Environment (2022)

  7. Multivariate generalized linear mixed models for underdispersed count data
    G. P. da Silva, H. A. Laureano, R. R. Petterle, P. J. Ribeiro Junior, W. H. Bonat
    Journal of Statistical Computation and Simulation (2023)

  8. A multinomial generalized linear mixed model for clustered competing risks data
    H. A. Laureano, R. R. Petterle, G. P. da Silva, P. J. Ribeiro Junior, W. H. Bonat
    Computational Statistics (2023) https://link.springer.com/article/10.1007/s00180-023-01353-5

  9. Toxicological effects of thimerosal and aluminum in the liver, kidney, and brain of zebrafish (Danio rerio)
    M. E. A. Galiciolli, J. F. Silva, M. M. Prodocimo, H. A. Laureano, S. L. de Morais Calado, C. S. Oliveira, I. C. Guiloski
    Metabolites 13(9) (2023), 975 https://doi.org/10.3390/metabo13090975

  10. Multivariate Generalized Linear Mixed Models for Count Data
    G. P. da Silva, H. A. Laureano, R. R. Petterle, P. J. Ribeiro Junior, W. H. Bonat
    Austrian Journal of Statistics 53(1) (2024), 44–69. https://doi.org/10.17713/ajs.v53i1.1574

  11. The Long Term Loss of Smell and Taste in COVID-19 Patients – A Systematic Review and Meta-Analysis
    J. D. C. Passos, H. A. Laureano, Y. S. Borges, I. C. Guiloski
    ABCS Health Sciences (2024), https://doi.org/10.7322/abcshs.2022057.2114

  12. COVID-19 in Brazilian Pediatric Patients: A Retrospective Cross-Sectional Study with a Predictive Model for Hospitalization
    A. P. O. Pacheco, H. A. Laureano, L. Schidlowski, N. M. Ciorcero, T. Z. Pinto, A. V. Borgmann, G. R. Fragoso, A. L. G. Giamberardino, R. M. Dourado, K. dos Anjos, P. R. D. João, M. H. K. Assahide, M. C. M. da Silveira, H. I. G. Giamberardino, V. H. S. Costa-Junior, C. Prando
    life 14(9) (2024), 1083 https://doi.org/10.3390/life14091083

Submitted for publication