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.
Highlights
Malignancy is one of the most devastating diseases that affect humanity in the modern era of civilization
The burden of cancer among women is high in both High Income Countries (HICs) and Low Middle Income Countries (LMICs), the distribution of most common cancers differs. This burden is predicted to extend as populations grow and age and because the prevalence of cancer risk factors increases in some countries, especially in LMICs
Descriptive Statistics and Correlation Output A preliminary examination of the database for the basic statistical analysis yielded a result in Table 1 showing the coinciding countries with the annual values
Summary
Malignancy is one of the most devastating diseases that affect humanity in the modern era of civilization. The burden of cancer among women is high in both High Income Countries (HICs) and Low Middle Income Countries (LMICs), the distribution of most common cancers differs. This burden is predicted to extend as populations grow and age and because the prevalence of cancer risk factors increases in some countries, especially in LMICs. The costs of cancer are considerable and even catastrophic in HICs and LMICs alike. Carcinoma and cervical cancer, two of the highest four cancers in women worldwide have several proven prevention measures [3]. These two cancers combined represent about 20% of all cancer deaths among women [4]
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