Place: D03.6020 on Tuesdays, B02.9390 on Thursdays. Only Sep 27 at Thursday venue.
Instructor: Nandini Dendukuri
Email Address: firstname.lastname@example.org
Telephone: 514 934 1934 x36916
Address: Division of Clinical Epidemiology
687 Pine Avenue W, R4.09
Montreal, PQ H3A 1A1
Course description: The proposed course will familiarize MSc and PhD graduate students in Experimental Medicine to basic concepts of applied statistics. These methods are necessary for carrying out research and interpreting research publications. This course will also serve as a foundation for more advanced courses in statistical modeling and study design. The R statistical software package will be used for computation.
Homework: There will be six homework assignments during the course. Assignments must be handed in at the beginning of the class on the due date. These homework problems will count for 40% of the course mark.
Mid-term and Final Exam: There will be two 1.5 hour in-class exams – one mid-term worth 15% and one final exam worth 30%.
Project: The research project will account for 15% of the course mark.
- Biostatistics with R, An Introduction to Statistics through Biological Data, Babak Shahbaba, Springer, 2012; available for download (free-of-charge) through the McGill Libraries.
- A tiny handbook of R, Mike Allerhand, Springer-Verlag, 2011; available for download (free-of-charge) through the McGill Libraries.
- Statistics for the life sciences, Myra Samuels, Jeffrey Wittmer and Andrew Schaffner, 5th edition, Pearson 2016