Analysis of Cancer Incidence Using Count Regression Models

References

[1] Abimbola F., Adeola F., Jesutofunmi O., Oluwasegun A. Oreoluwa A., Tunda O., Chukwumere N., Alexander O., Jimoh M. (2020). Cancer Presentation Patterns in Lagos, Nigera: Experience from a Private Cancer Center; Journal of Public Health in Africa 2020; Volume 11:1138

[2] Atara N., Mojisola O., Oluwaponmile O. (2022): Breast Cancer in Adolescent and Young Adult less than Year of Age in Nigeria: A Retrospective Analysis; Hindawi International Journal of Breast Cancer Volume 2022, Article ID 9943247, 8 Pages http://doi.org/10.1155/9943247

[3] Barnabas, M. M., Agabus, N. M., Dauda, M. A., Silas, A. O., Innocent, E., Barka, V. K and Jagshak, B. M. (2018). Burden of Cancer in Plateau State, Central Nigeria: A 27 Year Report from a Tertiary Hospital Based Cancer Rsegistry. Journal of Advances in Medicine and Medical Research 28(11): 1-11, 2018; Article no. JAMMR.47243.

[4] Clifford, I. O., Akhattor T. A., Victor, V. I., Orume, E., Adaugo, C. O., Ehioze, M. I., Esteem, T., Ehiremhen O., Alex, P. I., Reuben, E. and Maxy O. (2021). Pattern of Cancer in Irrua Specialist Teaching Hospital. International Journal of Tropical Disease and Health. 42(7): 14-21, 2021; Article no. IJTDH.68470.

[5] Freddie, B., Jcques, F., Isabelle, Soerjomataram, M. D., Rebecca L. S., Lindsey A. T., Ahmedin J. (2018). Global Cancer Statistics 2018: GLOBACAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. A Cancer Journal for Clinicians. CA CANCER J CLIN 2018; 68:394-424.

[6] Introduction to SAS.UCLA: Statistical Consulting Group. http://stats.oarc.ucla.edu/sas/modules/introduction-to-features-of-sas/(accessed-August 22, 2021).

[7] Iyiola, R O., Aliu, A. A., Obafemi, O. S., Ajao, I.O., Adetunji, A, A., et al. (2017). Modelling Cancer Risk Factors for Vital Topographies in the States of Nigeria. Journal of Cancer Biology and Research 5(3):1104.

[8] NCSS Statistics Software (Negative Binomial Distribution) https://www.ncss-wpengine.netdnassl.com/wpcontent/themes/ncss/pdf/procedures/NCSS/Negative_Binomial_Regression.pdf

[9] Nwafor, C.C., Nwafor, N. N. (2017). The Pattern and Distribution of Cancers in Akwa Ibom State, Nigeria. Nigerian Journal of Clinical Practice: Volume 21: Issue 5.

[10] Olakanmi, R. A., Adekoyejo A. P., Olubanji, A. O., and Olatunji, M. A. (2014). Cancer Mortality Pattern in Lagos University Teaching Hospital, Lagos Nigeria. Journal of Cancer Epidemiology Volume 2015, Article ID 842032, 6 Pages.

[11] Omolara, A. F., Omowunmi, B., Sunday, A., Adebowale, O., Anthonia, C. S., Abiodun, P., Omolola, S., Adewunmi, A., and Adedayo, J. (2020). 10 Year Mortality Pattern among Cancer Patients Lagos State University Teaching Hospital, Ikeja, Lagos. Frontiers in Oncology. Front Oncol. 2020; 10: 573036

[12] Regina B. S., Sheku S., Mohamed K. (2020). Factor Influencing Research Productivity at Njala University: A Count Regression Approach. International Journal of Research and Scientific Innovation (IJRSI) Volume VII, Issue VII, July 2020| ISSN 2321-2705

[13] Saidu, G. M., James, B. A., Adu, O. B., Faduyile, B., Faduyile, F.A., Fadaka, O. A., Iyapo, O., Soyemi, S.S., and Adekunle, B. (2017). Epidemiology and Incidence of Common Cancers in Nigeria. Journal of Cancer Biology and Research. 5(3):1105

[14] Sarada, G. and Samata G. P. (2019). Statistical Modelling for Cancer Mortality. https://doi.org/10.1080/23737867.2019.1581104

[15] World Health Organization (2021). https://www.who.int/news-room/fact-sheets/detail/cancer

[16] Winkelmanu R. (2008): Unemployment, Social Capital and Subjective Well Being. Journal of Happiness Studies 10 (4) 421-430.

[17] http://fmcyola.gov.ng

[18] Jedy-Agba E.mp. Ogunbiyo O. Oga E., igbinoba F Koechlin A; Dakum P. Blattner W., Adebanowa C. A; (2012): Cancer Incidence in Nigeria:a Report from Population Based Cancer Registries Institute of Human Virology, Nigeria Ep-746.

[19] Anorlu R., Kingsly O., Chistian C. M., (2018): Cancer Mortality among Patients admitted to Gynecology Wards at Lagos University Teaching Hospital, Nigeria. International Journal of Gynecology and Obstetrics: The Official Organ of the International Federation of Gynecology and Obstetrics: 110(3):263-9

[20] Olakanmi R., A., Adekoyejo A. P., Olubanji A. O., Olalunji M.A., (2015): Cancer Mortality Pattern in Lagos University Teaching Hospital Lagos, Nigeria: Journal of Cancer Epidemiology 2015: 2018:842032

[21] Qingwei l., Xue Q., Stephen w. mikeal C,. franxsea P., Karen C., Dianne L.O (2018): Lungs Cancer Mortality in Australia: Projection Outcome to 2040 Journal of Cancer Epidemiology: 125:68-76.

[22] Cameroon A.C., Trivedi P.K (2013): Regression Analysis of Count Data. 2nd Edition, Cambridge University Press, Cambridge. http://doi.org/10.1017/cb09781139013567.

@article{1704587,
      author = {Manu Ibrahim Babaja , Umar Farouk Abbas, Kaseem E. Lasisi},
      title = {Analysis of Cancer Incidence Using Count Regression Models},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {12},
      pages = {61-70},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704587.pdf},
      abstract = {Cancer has become a major cause of morbidity and mortality in Adamawa, Nigeria and the world at large. Despite the threat cancer poses to the world, less attentions is giving to the menace compared to the other public health issues such as corona Virus that the world stood up and fought it. Research was conducted on 1,168 registered cancer patients in Adamawa state, Nigeria. Systematic random sampling was used to extract demographic information such as age, sex, marital status, level of education, occupation, date of first diagnoses. Data were analyzed using percentages, mean and modified negative binomial regression Model that was used which was later compared to the based model Poisson and the classical negative binomial model. It was discovered that the modified negative binomial regression model significantly outperformed both the based and classical model. It was further discovered that 92% of the confirmed cases survived the treatment with only 8% of the mortality recorded from the confirmed cases. 35% mortality were recorded from the 112 (65%) of the pending cases that were yet to be confirmed. This mortality which seems to be high in patients with pending cases were due to the lost in follow up from the patients. Surgery was discovered to be the best method for the treatment of cancer followed by the combinations of treatments. Lastly, it was discovered that Age influence the expected log count of the topography of cancer outcome of treatment by -0.1173, Sex influence the expected log count of the topographer of cancer treatment outcome by -0.2598, Educational status influence expected log count of the outcome of the treatment by 0.0369, Treatment type influence the expected log count of the topography of the outcome of the treatment of cancer by -0.0416. In conclusion, the risk factors to successful treatment of cancer in Adamawa includes the in ability to dictate cancer on time, lack of follow up with the treatment from the patients, treatment type and age of the patients as well the sex.},
      month = {June},
  }