Quantitative prediction on human renal clearance and drug interaction Department: Mathematics and Statistics By: kruskalstat Project ID: 4721 Rating: (5.0) votes: 1Rate this project12345 Price:₦3000 Get the Complete MaterialAbstractThe study was targeted at determining the amount of renal drug clearance and its relationship with the quantity of drug intake by humans. The study adopted the cohort experimental design on 50 randomly selected individuals in Coastal Specialist Hospital in Warri Metropolis for a period of one month. The data for the study were therefore sourced from the observation of the results of the experiments. Various statistical methods such as the regression, paired sample, and independent sample t-test were used to analyze and provide explanations to the problem under study. The result indicated that 42.9% of the change in renal drug clearance can be influenced or determined by the dose of drug and individual takes. This result clearly revealed that despite the close relationship between drug interaction and renal drug clearance, only the amount of drug intake cannot be wholly used to predict renal drug clearance 100% and thus, other variables are also effective in determining the level of renal drug clearance. It was concluded that the more the quantity of drug intake the lesser the ability of the kidney to clear drugs. Low drug clearance levels can mean you have chronic kidney disease or serious kidney damage. Kidney damage can be from conditions such as a life-threatening infection, shock, cancer, low blood flow to the kidneys, or urinary tract blockage....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