A survey of statistical methods, with applications in public health and the biological sciences, including study design and clinical trials, categorical data analysis, simple and multiple linear regression, analysis of variance, and logistic regression. Motivating examples are drawn from public health and biomedicine.
Athena Title
Intermediate Biostatistics
Equivalent Courses
Not open to students with credit in BIOS 3000E
Prerequisite
BIOS 2010 or BIOS 2010E or STAT 2000 or STAT 2000E or STAT 2010 or STAT 2100H or STAT 3110 or STAT 3110E or ENGR 2090 or ENGR 2090E or FANR 2010-2010L
Semester Course Offered
Offered fall and spring
Grading System
A - F (Traditional)
Student learning Outcomes
Students will analyze the ethical and design issues of observational studies, experimental designs, and clinical trials.
Students will apply appropriate statistical methods to draw conclusions from categorical data.
Students will construct and interpret statistical models, including simple linear regression, multiple linear regression, and Analysis of Variance (ANOVA), to explore relationships between variables and compare group means.
Students will evaluate the results of biostatistical analyses to address research questions.
Students will communicate findings effectively, demonstrating an understanding of the relationship between method, result, and conclusion.
Topical Outline
1. Sampling, Study Design, & Clinical Trials
2. Contingency Table Analysis
3. Measures of Association for 2x2 Tables
4. Stratified Contingency Table Analysis
5. Simple Linear Regression
6. Multiple Linear Regression
7. Analysis of Variance
8. Logistic Regression
Institutional Competencies Learning Outcomes
Analytical Thinking
The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.
Critical Thinking
The ability to pursue and comprehensively evaluate information before accepting or establishing a conclusion, decision, or action.
