Course Description
Covers a variety of modern approaches for analyzing and interpreting data commonly encountered in public health, biomedical sciences, and related areas.
Athena Title
Modern Applied Data Analysis
Equivalent Courses
Not open to students with credit in EPID 8060E, BIOS 8060E
Prerequisite
BIOS 7010 or BIOS 7010E or permission of school
Semester Course Offered
Offered fall, spring and summer
Grading System
A - F (Traditional)
Course Objectives
Students will be able to: • Appraise different types of modern analysis approaches commonly used to study public health and biomedical data • Critically compare and evaluate the strengths and weaknesses of different analytic approaches • Formulate the appropriate analytic approach for a given data set • Articulate a research question and outline a data analytic approach suitable to answering this question for a given data set • Design and implement successful data analyses using a state-of-the-art analysis software • Explain the importance of workflow management and reproducibility for successful data analysis • Judge the usefulness of different analysis tools described in the primary literature on epidemiology methodology • Evaluate state-of-the art analysis approaches from the research literature • Critically appraise analyses presented in published studies, identify strengths and weaknesses of other people’s analyses • Assess the strengths and weaknesses of different approaches to representing the results of data analyses • Summarize analysis results in a way that is easily understandable for different audiences, such as lay persons, decision makers, and expert colleagues
Topical Outline
1. Introduction to data analysis 2. The data analysis workflow 3. Overview of data types and analysis approaches 4. Getting and pre-processing data 5. Preliminary and graphical data analyses 6. Hypothesis testing and model comparison 7. Quantifying uncertainty 8. Model predictions 9. Presentation of analysis results