AN ANALYTICAL STUDY ON PROBABLE FACTORS LEADING TO ORAL CANCER IN ASSAM
DOI:
https://doi.org/10.29121/shodhkosh.v5.i1.2024.3380Keywords:
Demographic Factors, Factorial Analysis, ANOVA, Chi-SquareAbstract [English]
According to National Centre for Disease Informatics and Research (NCDIR) (2021) [1], oral cancer is among the top three cancers in India and it is among top five cancers in Assam. Different studies revealed that the incidence of oral cancer is more with the use of tobacco related products and the maximum number of cases are in Cachar District. Besides the use of tobacco, consumption of alcohol and metabolic risks are also the factors of the causes of oral cancer. Also some demographic factors are responsible for the causes of oral cancer. In this study, a Factorial Analysis model with ANOVA have been applied to understand the probable factors leading to oral cancer in Assam. In this study, chi-square test has been applied to study the association between Gender and some probable factors like locations, behavioural factors and metabolic risks factors on account of the occurrence of oral cancer. It is concluded that the development of oral cancer among the gender of the patients are not significantly different. It is found that Esophagus and Tongue cancers are significantly difference. The patients with overweight, raised blood pressure and raised blood glucose are significantly difference.
References
Hyuna Sung, Jacques Ferlay “Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries”. https://acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac.21660
“Assam-National Centre for Disease Informatics and Research”(2021) https://ncdirindia.org/All_Reports/NorthEast2021/resources/NE_chapter3.pdf
Areia Anibal and Mexia Joāo T. (2016), “ANOVA like analysis of cancer death age” https://doi.org/10.1063/1.4951825. DOI: https://doi.org/10.1063/1.4951825
Koc Zelina et. Al (2014). “Evaluation of Impact of Nurses Healthy Lifestyle Behaviours on Utilization from Breast Cancer Early Diagnosis Methods”. https://ncbi.nlm.nih.gov/pmc/articles/pmc5351542 DOI: https://doi.org/10.5152/tjbh.2014.2087
Prasad Dr. S. N., Diwakar Ajay Kumar (2022). “Statistical Analysis Cancer Data”. https://ijsr.net/archive/V11i8/SR22819190317.pdf DOI: https://doi.org/10.21275/SR22819190317
Bharathi A., Natarajan Dr. A. M. (2010). “Cancer Classification of Bioinformatics data using ANOVA”. https://ijcte.org/papers/169-G652.pdf. DOI: https://doi.org/10.7763/IJCTE.2010.V2.169
Rana Rakesh, Singhal Richa (2015). “Chi-square Test and its Application in Hypothesis Testing”. DOI: https://doi.org/10.4103/2395-5414.157577
https://j-pcs.org/temp/JPractCardiovascSci1169-5772018_160200.pdf
Adimu Patience I. et al (2018). “Statistical data analysis of cancer incidences in insurgency affected states in Nigeria”. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998707/ DOI: https://doi.org/10.1016/j.dib.2018.04.135
Etxeberria Jaione et al (2015). “ON PREDICTING CANCER MORTALITY USING ANOVA-TYPEP-SPLINE MODELS”. https://ine.pt/revstat/pdf/rs150102.pdf
Paul D. Glenn II and Griesinger N. L. Glenn (2021). “STATISTICAL POWER ANALYSIS OF ANOVA WITH APPLICATION TO COUNT DATA FROM INTESTINAL POLYP MEDICINE IN APE MIN + MICE”. https://coset.tsu.edu/statistical-power-analysis-of-anova-with-application-to-count-data-from-intestinal-polyp-incidence-in-apemin-mice-paul-d-glenn-it-and-n-l-glenn-griesinger/
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Copyright (c) 2024 Dr. Parbin Sultana, Jayanta Sarma Kakoty, Dr. Sahnaj Rahmatulla Laskar, Ferdowsi Kawchar

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