Overview

Application of statistical methods to epidemiology, clinical and diagnostic medicine, and laboratory biomedical experiments. Topics include data collection and organization, data cleaning, data visualization, descriptive statistics, reliability, sample size estimation, analysis of group differences, correlation and linear regression. Emphasizes use of computerized statistical software in biomedical data analysis.

Learning Objectives

Upon successful completion of this course, students will be able to:

Identify data types and organize and navigate the data to facilitate the analysis of the data
Describe data using appropriate metrics
Determine if a difference exists between two or more groups through the application of the appropriate test
Identify relationships between two or more variables through the applicate of the appropriate test
Design a simple prospective study to determine the difference between two groups

Course Topics

Data Types and Introduction to R
Data Organization
Data Cleaning
Data Navigation
Describing Data
Data Visualization
Inferential Statistics
Differences Between Two Groups
Differences Between Two Groups – Binomial
Differences Between Multiple Groups
Correlations
Linear Regression
Study Design Power Analysis

Recommended Prerequisites

VCM 507 and 509, DVM or equivalent, or permission of the instructor