Long-Term Quantitative Assessment of Women Survivability from Cancer: A Unique Descriptive Analysis

Engy Refaat Rashed, Mostafa Essam Eissa

Abstract


Statistical Process Control (SPC) methodologies are a set of statistical methods and techniques that were initially designed for industrial processes but could be adopted for non-industrial applications. The current prospective study aimed to provide a unique quantitative investigation of an epidemiological disease using the SPC program platform. The selected case herein was a long-term monitoring record of the yearly cancer mortality rates in women worldwide. Multidimensional segregation of the dataset into subgroups was conducted to visualize the clustering pattern based on nations (42 countries as boxplot), time and the Gaussian Mixture Model (two-interfering bell-shaped distributions approach). The trend of death rates versus the elapsed years would demonstrate a moderately negative correlation with the time following the theory of splines. Construction of control chart based on the fitted Weibull distribution showed a gradual steady improvement in survivability rates from malignancy. The greatest variations in the mortality ratios existed within the European countries.

Keywords


box plot, cancer, control chart, Gaussian mixture model, histogram, mortality rate, Weibull

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References


Schmidt H. Chronic disease prevention and health promotion. InPublic health ethics: Cases spanning the globe 2016 (pp. 137-176). Springer, Cham.

Boufford JI, Cassel CK, Bender KW. The future of the public’s health in the 21st century. An Institute of Medicine Report. 2003.

Nagai H, Kim YH. Cancer prevention from the perspective of global cancer burden patterns. Journal of thoracic disease. 2017 Mar;9(3):448.

Torre L, Islami F, Siegel R, Ward E, Jemal A. Global Cancer in Women: Burden and Trends. Cancer Epidemiology Biomarkers & Prevention. 2017;26(4):444-457.

Donaldson M, Lohr K. Health data in the information age. Washington, D.C.: National Academy Press; 1994.

Krosnick JA, Presser S, Fealing KH, Ruggles S, Vannette DL. The future of survey research: Challenges and opportunities. The National Science Foundation Advisory Committee for the Social, Behavioral and Economic Sciences Subcommittee on Advancing SBE Survey Research. 2015 May:1-5.

Barlow RE, Irony TZ. Foundations of statistical quality control. Lecture Notes-Monograph Series. 1992 Jan 1:99-112.

Bergman B. Conceptualistic pragmatism: a framework for Bayesian analysis?. IIE Transactions. 2008 Nov 7;41(1):86-93.

Olson LW. The application of statistical process control in non-manufacturing activities. AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH; 1988 Jan.

Thor J, Lundberg J, Ask J, Olsson J, Carli C, Härenstam KP, Brommels M. Application of statistical process control in healthcare improvement: systematic review. BMJ Quality & Safety. 2007 Oct 1;16(5):387-99.

Morrison LW. The use of control charts to interpret environmental monitoring data. Natural Areas Journal. 2008 Jan;28(1):66-73.

Baker AW, Haridy S, Salem J, Ilieş I, Ergai AO, Samareh A, Andrianas N, Benneyan JC, Sexton DJ, Anderson DJ. Performance of statistical process control methods for regional surgical site infection surveillance: a 10-year multicentre pilot study. BMJ Qual Saf. 2018 Aug 1;27(8):600-10.

Eissa ME. Determination of the microbiological quality of feed city water to pharmaceutical facility: distribution study and statistical analysis. Athens J Sci. 2017;4(2):143-60.

Eissa M. A Long-Term Impact Study of Bacterial Outbreak Using Control Chart-Risk Assessment Combination. Worldwide Medicine. 2019;1(4):117-122.

Rashed ER, Eissa ME. Global assessment of morbidity and mortality pattern of CoVID-19: Descriptive statistics overview. Iberoamerican Journal of Medicine. 2020 Apr 8;2(2):68-72.

U.S. Department of Health and Human Services. Comprehensive Cancer Information [Internet]. National Cancer Institute. 2020 [cited 28 May 2020]. Available from: https://www.cancer.gov/

World Health Organization. Home [Internet]. Who.int. 2020 [cited 28 May 2020]. Available from: https://www.who.int/

Motulsky H. Analyzing data with graphPad prism. San Diego: GraphPad Software Inc.; 1999.

XLSTAT. Statistical Software for Excel [Internet]. XLSTAT, Your data analysis solution. 2014 [cited 28 May 2020]. Available from: http://www.xlstat.com/en/download.html

Minitab 17. Getting Started with Minitab 17 [Internet]. Minitab.com. 2016 [cited 28 May 2020]. Available from: https://www.minitab.com/uploadedFiles/Documents/getting-started/Minitab17_ GettingStarted-en.pdf

Patil KN, Kaushik SC, Garg SN. Performance prediction and assessment of energy conservation potential for a light pipe system in Indian composite climate of New Delhi. Journal of Solar Energy Engineering. 2018 Oct 1;140(5): 051012 (9 pages). https://doi.org/10.1115/1.4039656

McGonagle J, Pilling G, Tembo V, Chumbley A, Ross E, Khim J. Gaussian Mixture Model | Brilliant Math & Science Wiki [Internet]. Brilliant.org. 2020 [cited 29 May 2020]. Available from: https://brilliant.org/wiki/gaussian-mixture-model/

Kenett RS, Zacks S, Amberti D. Modern Industrial Statistics: with applications in R, MINITAB and JMP. John Wiley & Sons; 2013 Dec 16.

Shanmugam R, Chattamvelli R. Statistics for scientists and engineers. John Wiley & Sons, Incorporated; 2015 Jul 27. https://doi.org/10.1002/9781119047063.ch4

Banas T. Differences in Arithmetic & Geometric Mean [Internet]. Sciencing. 2017 [cited 29 May 2020]. Available from: https://sciencing.com/differences-arithmetic-geometric-mean-6009565.html

Steele J. The Cauchy-Schwarz master class. Cambridge: Cambridge University Press; 2010.

McDonald JH. Handbook of biological statistics. Baltimore, MD: sparky house publishing; 2014 Aug.

Weaver KF, Morales VC, Dunn SL, Godde K, Weaver PF. An introduction to statistical analysis in research: with applications in the biological and life sciences. John Wiley & Sons; 2017 Sep 5.

American Cancer Society. Cancer mortality continues steady decline, driven by progress against lung cancer: Drop of 2.2 percent from 2016 to 2017 is largest ever reported [Internet]. ScienceDaily. 2020 [cited 30 May 2020]. Available from: https://www.sciencedaily.com/releases/2020/01/200108074809.htm

Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society: Series B (Methodological). 1977 Sep;39(1):1-22.

Nagai H, Kim YH. Cancer prevention from the perspective of global cancer burden patterns. Journal of thoracic disease. 2017 Mar;9(3):448.

Western Electric Company. Statistical quality control handbook. Western Electric Company; 1956.

Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA: A Cancer Journal for Clinicians. 2020 Jan;70(1):7-30.




DOI: https://doi.org/10.36462/H.BioSci.20208

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