2 Course Details
- Dates: Mon, Jun 1 – Mon Jul 13, 2020
- Time: 9:00am-12:00pm
- Place: Online! https://mcgill.zoom.us/j/98513054963
- Course website: MyCourses
Instructor email: nandini.dendukuri@mcgill.ca
- Assessment:
- 6 assignments: 60%
- In-class quizzes: 10%
- 1 group project: 30%
2.1 Project
- Goal is for you to learn the methods covered in this course by applying to a real problem you are familiar with
- You are required to work in groups of 3, identify a dataset, preferably related to your research and analyze it
- At the end of the course, submit a short report and make a 10-minute presentation
- Use reporting guidelines from the Equator network as relevant
- The methods used will naturally limited to those covered during this introductory course. However, you can discuss what other methods would be needed to answer the research question satisfactorily.
2.2 Suggested References
- Many books available for free via McGill libraries, for example:
- Biostatistics with R: An Introduction to Statistics through Biological Data, Babak Shahbaba, Springer, 2012
- A tiny handbook of R, Mike Allerhand, Springer-Verlag, 2011
- Lecture material for this course is drawn from a variety of sources including:
- Other courses:
- Tim Hanson’s Course (Univ of South Carolina): http://people.stat.sc.edu/hansont/stat205/stat205_spring2014.html
- Ingo Ruczinski’s two-term course (Johns Hopkins) http://www.biostat.jhsph.edu/~iruczins/teaching/140.615/140.615.index.html
- Lawrence Joseph’s EPIB-607 Course (Dept of Epidemiology, Biostatistics and Occupational Health, McGill University) http://www.medicine.mcgill.ca/epidemiology/Joseph/courses/EPIB-607/main.html
- Text books (available via sites like amazon.com):
- Statistics for the life sciences, Samuels, Wittmer and Schaffner, 2016
- Statistical data analysis for the life sciences, Ekstrom and Sorensen, CRC press, 2010
- Data analysis for the life sciences, Irizarry and Love, Leanpub, 2015
- Statistical ideas and methods, Utts and Heckard, Thompson Brooks Cole, 2006
- Statistics for the life sciences, Samuels, Wittmer and Schaffner, 2016
- Other courses: