Biostatistics Departmental Objectives
Evaluate the research question(s) and recommend the appropriate experimental design and statistical analysis techniques. Grounded in the basics of statistical theory, the student will determine the types of data needed (discrete or continuous), the best way to acquire the data (sampling and sample design), the most appropriate analysis techniques (classical inference, nonparametric, and/or statistical modeling) and the best way to report results (tables, graphs, and appropriate statistics).
Determine the best way to collect and store data. With a fundamental knowledge of data management techniques, students will be able to work with all types of data including the large and intricate federal and state databases often used by public health researchers.
Perform basic data analysis and modeling. A concentration in biostatistics provides the student with skills to do descriptive and inferential analysis and the ability to work with Masters and Ph.D. biostatisticians on more complex analysis projects.
Assist with the technical programming required. Students will have hands on experience with popular statistical programs such as SAS and SPSS and be able to use them in future projects. More importantly, students in the program will have the statistical foundation to provide full time programmers with the algorithms needed for more complex design and analysis projects.
Apply their skills and experience as health policy analysts, researchers and statisticians in academic, consulting, clinical, industrial and public sector careers.
Required Course Materials
Mendenhall, Beaver (2008). Introduction to Probability and Statistics 13th ed.
Earlier editions of the book are not recommended.
Assignments and Grading
Exam 1 30%
Exam 2 30%
Other assignments TBA