Logistic regression modeling of risk factor on leukemia Department: Mathematics and Statistics By: kruskalstat Project ID: 5649 Rating: (3.0) votes: 5Rate this project12345 Price:₦3000 Get the Complete MaterialAbstractThe main focus of this study is to demonstrate the application of binary logistic regression methods in modelling the risk factors of leukemia. The data sourced were analyzed using the binary logistic regression model in SPSS 22.0. The study shows that frequent exposure to radiation is insignificant in experiencing leukemia having a 0.999 level of significance. The odd of frequent radiation has not effectively superseded others despite its high level (11796776426/098). Age reported a p-value of 0.562 which is insignificant and having an odd of 0.098. The result of the study also shows that cancer syndrome and smoking habits have no significant impact on the incidence of leukemia among individuals. The result of the study revealed that the family history of individuals has a significant effect in influencing the event of having leukemia in this study since it has a p-value of less than 0.05. The study also pointed that the odds of having a leukemia level is 53.786 times the other factors presented. The evaluation of the model adequacy shows that the Cox and Snell R Square statistic explained that the 52.4% probability of an event of having leukemia is explained by the logistic regression model....Preview Download Preview +Other Mathematics and Statistics project topics and materials you might be interested in»Statistical Quality Control of Premier Soap in Soap Manufacturing Industry ( A Case Study of PZ Cusson PLC Aba Abia State)»Statistical analysis of students’ height and weight (case study of federal polytechnic Nekede, Owerri, Imo state) »Statistical analysis of unemployment rate among age groups and geographical locations in Nigeria»Statistical analysis of the problems associated with skill acquisition in Nigeria (a case study of male tailors in Imo state)»Application of linear programming technique to profit maximization in the production of soap (a case study of Promotex industrial and chemical company limited, Nnewi, Anambra state) »Statistical analysis of foster care and adoption rate in Abia state (a case study of motherless babies home Ahiaeke, Umuahia)»Determination of nutritional status of children within the ages of four (4) to ten (10) years using their body mass index (BMI)»Time series analysis on marriage registration in Ilorin, Kwara state»Application of multiple queuing model in evaluating the efficiency of service in UBA bank»Statistical analysis on impact of parental hood on academic performance»Determinant of foreign direct investment in Nigeria and its effect on Nigerian economy: an empirical analysis»Econometrics analysis of gross national income on consumption expenditure of federal republic of Nigeria between (2011)»Statistical analysis of factors affecting crime in Imo state»Statistical study of the queuing pattern at the antinatal division of Federal Medical Center FMC Owerri Imo state»A statistical analysis of coal production in Nigeria - a case study of Nigeria coal corporation from 2000-2009