Azevedo, D. R. M., Prates, M. O., & Bandyopadhyay, D. (2021). MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping Models. Journal of Agricultural, Biological and Environmental Statistics, 1-28

Azevedo, D. R. M., Prates, M. O., & Assunção, R. M. (2021). Estimating hidden populations by transferring knowledge from geographically misaligned levels. Statistical Methods in Medical Research, 30(1), 62-74

Azevedo, D. R. M., Prates, M. O., & Bandyopadhyay, D. (2020). Alleviating spatial confounding in spatial frailty models. arXiv preprint arXiv:2008.06911

Azevedo, D. R. M., Bandyopadhyay, D., Prates, M. O., Abdel‐Salam, A. S. G., & Garcia, D. (2020). Assessing spatial confounding in cancer disease mapping using R. Cancer Reports, 3(4), e1263

Martins, K. P., Barreto, S., Bos, D., Pedrosa, J., Azevedo, D. R. M., Foppa, M., … & Brant, L. C. (2020). Epicardial Fat Associates With Endothelial Dysfunction, but Not With Coronary Calcium Score: From the Elsa-brasil Cohort Study. Circulation, 142(Suppl_3), A13062-A13062

Azevedo, D. R. M., Prates, M. O., & Willig, M. R. (2020). Non-Separable Spatio-temporal Models via Transformed Gaussian Markov Random Fields. arXiv preprint arXiv:2005.05464

Azevedo, D. R. M. (2020). Spatial confounding beyond generalized linear mixed models: extensions to shared components and spatial frailty models

Maluf, C. B., Barreto, S. M., Giatti, L., Ribeiro, A. L., Vidigal, P. G., Azevedo, D. R. M., … & Miller, M. A. (2020). Association between C reactive protein and all-cause mortality in the ELSA-Brasil cohort. Journal of Epidemiology and Community Health, 74(5), 421-427

Azevedo, D. R. M. (2016). Modelagem espaço-temporal para campos aleatórios gaussianos transformados

Azevedo, D. R. M. (2013). Aproximações de distribuições marginais a posteriori utilizando o método INLA

Azevedo, D. R. M. (2013). Classificação e agrupamento de séries temporais correlacionadas