Statistical modelling for Bladder cancer disease using the NLT-W distribution-Reference-Cited by-同舟云学术

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Statistical modelling for Bladder cancer disease using the NLT-W distribution

Published:2021 Issue:9 Volume:6 Page:9262-9276
ISSN:2473-6988
Container-title:AIMS Mathematics
language:
Short-container-title:

Author:

Mohammed Heba S., ,Ahmad Zubair,Abdulrahman Alanazi Talal,Khosa Saima K.,Hafez E. H.,Abd El-Raouf M. M.,Mohie El-Din Marwa M., , , , , , ,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

General Mathematics

Reference27 articles.

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2. M. Riester, J. M. Taylor, A. Feifer, T. Koppie, J. E. Rosenberg, R. J. Downey, et al., Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer, Clin. Cancer Res., 18 (2012), 1323–1333.

3. F. Bray, J. Ferlay, I. Soerjomataram, R. L. Siegel, L. Torre, A. Jemal, Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries, CA Cancer J. Clin., 68 (2018), 394–424.

4. Y. S. Kim, P. Maruvada, J. A. Milner, Metabolomics in biomarker discovery: future uses for cancer prevention, Future Oncol., 4 (2008), 1–18.

5. J. A. Witjes, E. Compérat, N. C. Cowan, M. Santis, G. Gakis, T. Lebret, et al., EAU guidelines on muscle-invasive and metastatic bladder cancer: summary of the 2013 guidelines, Eur. Urol., 65 (2014), 778–792.

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