Introduction to a variety of statistical tools with applications in public health and the biological sciences, including simple and multiple regression, experimental design, categorical data analysis, logistic regression, and survival analysis. Motivating examples will be drawn directly from the literature in the health, biological, medical, and behavioral sciences.
Athena Title
Intermediate Biostat Reasoning
Equivalent Courses
Not open to students with credit in BIOS 7020E
Prerequisite
BIOS 7010 or BIOS 7010E or permission of department
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Student learning Outcomes
Students will learn to apply public health research, practice, and ethics to inform biostatistical analyses.
Students will learn to describe concepts of probability, random variation, and commonly used probability distributions.
Students will learn to execute exploratory data analyses including the production of tabular summaries, graphical displays, and descriptive statistics
Students will learn to a identify the appropriate statistical procedure for statistical analysis based on study objectives, study design, and the types of variables involved.
Students will learn to apply common statistical procedures including simple and multiple regression, analysis of variance, analysis of contingency tables, non-parametric methods, logistic regression, and survival analysis using at least one statistical software package.
