Logistic regression analysis of new cancer cases in Zimbabwe (2009 - 2015)
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According to the Zimbabwe Demographic health Survey (ZDHS ,2010-2011) ,cancer continues to be a threat with over 400 cases recorded annually since 2009 and yet advances and methods in preventing cancer has been implemented to help the citizens of Zimbabwe . In view of this, the research was conducted to determine the important influential variables upon the new cancer cases in Zimbabwe and effect of each of those upon the studied phenomenon through applying logistic regression model In this research data was analysed using descriptive statistics to summarize the characteristics of the predictor variables. A bivariate analysis was carried out to find the correlations among the variables. A stepwise logistic regression model was developed to examine the relationship between the number of new cancer cases and the predictor variables. The data set used in this research consists of a sample of (101) observations and was obtained from Parirenyatwa hospital. A logistic regression model formulated showed that the significant factors in explaining the number of new cancer cases were HIV positive and older age. The predicted model has an value of 39.0; which meant that HIV positive and older age explained 39% of the variation in the dependent variable. The final model was significant with an F-value being 4.955. The research also showed the significant factors which contribute to the understanding of the number of new cancer cases. These factors were HIV positive and older age. HIV positive showed a positive linear relationship with a correlation coefficient of 0.643 and older age shows a positive linear relationship with a correlation coefficient of 0.512 Since the model contributed 39.0 in explaining the number of new cancer cases, the researcher recommends other researchers to further investigate significant factors not considered in the research in order to increase the value. Some of these factors include a personal and/or family history of cancer, Specific chemicals.