Statistical Programming and Computation for Health Data
- Course Number
- CHL5233H
- Series
- 5200 (Biostatistics)
- Course Instructor(s)
- Aya Mitani
Course Description
This course that covers essential R programming and computational tools in health sciences research. Topics include data manipulation, data visualization, loops and functions, optimization, and package development with an emphasis on reproducibility and replicability.
Course Objectives
Students who complete this course will be able to:
- Develop a reproducible workflow while integrating version control for conducting research in health data sciences;
- Use R to prepare an analytical data set and perform descriptive analysis;
- Produce a visual (graphical or tabular) display of the data that effectively communicates the trend or pattern based on the research question of interest;
- Write efficient reproducible code throughout the data science project;
- Write an efficient simulation program;
- Develop an R package and deploy it on GitHub;
- Create reproducible professional grade documents (reports, articles, blog posts, presentation slides) using R;
- Use computational tools (bootstrap, multiple imputation, etc.) to aid in statistical analyses.
Methods of Assessment
| Attendance and participation | 10% |
| Pre-class assignments and quizzes | 40% |
| Final project | 30% |
| Final presentation | 20% |