Bio- and medical statistics incorporate a variety of data types. The most common statistics reported are vital (birth, death, marriage, divorce rates), morbidity (incidence of disease in a population) and mortality (the number of people who die of a certain disease compared with the total number of people). Other common statistical data commonly used in the health sector include health care costs, the demographic distribution of disease based on geographic, ethnic, and gender variables, and data on the socioeconomic status and education of health care professionals. This course is designed to enable students to develop essential skills to determine the root causes of health-related problems, identify and collect the relevant data, and interpret the results of data analysis appropriately. Real-world examples will be used to demonstrate the translation of statistical concepts and techniques in problem-solving application in the health sector.

CILO-1: Describe the basic concepts of medical statistics and the important considerations when performing medical statistical analysis. CILO-2: Articulate the types of data relevant to medical statistics. CILO-3: Analyze, interpret, describe, and visualize medical data. CILO-4: Differentiate the most common methods of statistical analysis of medical data. CILO-5: Perform medical data analysis and make appropriate interpretation and statistical inference for problem-solving application in the health sector. CILO-6: Appraise published medical statistical results for decision-making in the health sector.