Abstract:
The aim of this research is to design a precise statistical model that
shows the relation between the possibility of the incidence of prostate cancer
and the disease risk factors. Also this research aims to determine the best of
the three statistical methods to suit the research data related to prostate
cancer and to identify the most important risk factors of the disease those
increase its prevalence.
The data were collected from Khartoum Nuclear Hospital regarding the
prostate cancer patients for the following independent variables were
collected for cases and controls: Age, Occupation, State, Marital status,
Family history, Animal fat, Fruits & Green vegetables, Overweight,
Cholesterol, Blood pressure, Prostate medications, Alcohol, Smoking,
Developing one or more of these diseases: ‘Syphilis, gonorrhea, chronic
prosatitis, and prostate enlargement‘, Prostate Specific Antigen (PSA). The
analytical approach was used in analyzing the data by using the logistic
regression analysis, chi-square test, and Mantel-Haenszel test to identify the
risk factors associated with the occurrence of the disease. In order to
implement this, prostate cancer patients were specified, and sample of 250
men was taken. The data were collected through a questionnaire, and from
the patient records.
This study concluded that the most important risk factors that agreed by
all three procedures were age and PSA. The analysis also showed that chisquare
test is the best in terms of determining the risk factors for the disease
because itcontains the highest values for the variables. Based on the
research findings the following points are to be recommended: Maximum
use of the Mantel-Haenszel procedure in the biostatistics field, Raising
awareness of the need to examine PSA periodically, especially when the age
equal to or above 50 years, because age is the strongest risk factor for the
appearance of prostate cancer.
