Lawrence Joseph
Bayesian statistics
Professor
E-mail: lawrence.joseph@mcgill.ca
Telephone: +1 (514) 934-1934 ext: 44713
FAX: (514) 934-8293
Complete CV
Division of Clinical Epidemiology
McGill University Health Centre
Royal Victoria Hospital
687 Pine Avenue West
V Building, Room V2.10
Montreal, Quebec
Canada, H3A 1A1
Course outline
Basic information
  • Instructors: Jay S. Kaufman & Lawrence Joseph


  • Credits: 1


  • Course Objectives and Topics Covered:


  • This course will introduce the student to statistical software and fundamentals of data management. This will include the basics of entering, manipulating data and elementary statistical analysis for epidemiologic research using STATA 11 and R.


  • Time and Place:


  • Fridays 12:35-2:25 PM (Sept 2 - Oct 28) and Mondays 8:35-10:25 AM (Oct 31 - Nov 21), in Leacock 212


  • Assessment:


  • Pass/Fail based on class attendance and completion of in-class assignments


  • Textbook:


  • An Introduction to Stata for Health Researchers (3rd edition) by Svend Juul and Morten Frydenberg, 2010 Stata Press.
    The textbook can be purchased from the McGill bookstore for $81 + tax.
    Another option is to buy it from chapters.ca where it is listed at $72 with free shipping.


  • Software used in the course:


  • Purchasing Stata 12: You can purchase STATA by going to their website here, where you should specify JSK11 for the GRADPLAN ID in order to obtain the student discount. There are several options for purchasing Stata that can be found here or here. We recommend that you purchase the perpetual license of STATA/IC 12. You should NOT purchase Small STATA, as it will not be sufficient for the master's level courses.
    R and WinBUGS are both free programs, click on their names to download.


  • Teaching assistant:


  • Brittany McKinnon: brittany.mckinnon@mail.mcgill.ca


  • Office Hours:


  • Faculty and TA office hours are by appointment.


  • Prerequisites:


  • Enrollment in Epidemiology Programs; EPIB 601, 602 and 607


  • PDF version of Course Outline