EPIB 607 - Fall 2012

Principles of Inferential Statistics in Medicine

Tuesdays and Thursdays, 1:00-2:55pm
Location: Purvis room 25
Office hours:
Tuesdays 9:30-11:00pm in Purvis room 48 or by appointment

Erica E. M. Moodie and Olli Saarela
Erica's contact details: Purvis Hall room 38B

TA: TBA
TA office hour: TBA
Prerequisite: Basic understanding of differentiable and integral calculus.
Enrollment in the Epidemiology program at McGill University.

Objectives: The aim of this course is to provide students with basic principles of statistical inference applicable to clinical and epidemiologic  so that they can: (i) understand how statistical methods are used by others, (ii) apply statistical methods in their own research, and (iii) use the methods learned in this course as a foundation for more advanced biostatistics courses.
Content:
 Topic: Baldi & Moore: Data collection, description, and display Chapters 1, 2 Probability, Discrete and continuous distributions Randomness and random variables Bayes’ Theorem Diagnostic tests Chapters 9 - 12 Inference for means Sampling distributions Inference and estimating with confidence Hypothesis testing Paired and unpaired data Sample size and power Chapters 13 - 18 Inference for proportions Paired and unpaired data X2 test Fisher’s exact test Inference for epidemiologic parameters (RR, OR) Sample size and power Chapters 5, 19 - 22 Nonparametric statistics Sign test Wilcoxon rank sum Wilcoxon signed rank test Chapter 27 Regression and correlation Pearson correlation, Spearman correlation Kendall’s tau Least squares regression Coefficient interpretation Chapters 3, 4, 23, 24 A more detailed course outline is available here.
Texts: Required text:
Baldi B and Moore D S. The Practice of Statistics in the Life Sciences, 2nd edition
. Freeman and Company.
NOTE: Used or less expensive copies of the text may be available in the bookstore or online (e.g. at Amazon.com, Amazon.ca). You can also buy this as an eBook

Course notes:

Moore D and McCabe G. Introduction to the Practice of Statistics, 6th Edition. 2007. Freeman and Company.
Armitage P, Berry G, and Matthews JNS. Statistical Methods in Medical Research, Fourth Edition. 2002. Blackwell Scientific Publications.
Note: These are excellent books. If you have a friend in the class with whom to share a book, you may want to consider buying one copy of this and one of Baldi & Moore.

Equipment: Hand calculators (with square root, log, and exponential function) are required.  The R software package will be introduced and used for in-class illustrations. R is available under GPL (free) at http://lib.stat.cmu.edu/R/CRAN.
Evaluation: Assignments                                                                                             20%
Mid-term exam                                                                                       30%
Project                                                                                                        10%
Final exam                                                                                                40%

The final grade will consist of a letter grade. This will be determined by taking the maximum of:

(Homework/Project 30% + Midterm Exam 30% + Final exam 40%)

and                                  (Homework/Project 30% + Final Exam 70%).

The midterm will be held in class date October TBA (closed book, but you may bring one 8x11 sheet of notes).
The project is due TBA.
The final will be held TBA (closed book, formula sheet provided).

No make-up work will be allowed for assignments unless a valid & demonstrable reason is presented
within one week of the original due date.

McGill University values academic integrity.  Therefore all students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Code of Student Conduct and Disciplinary Procedures (see http://www.mcgill.ca/integrity/ for more information).

NOTE: ASSIGNMENTS & SOLUTIONS, HAND-OUTS WILL BE POSTED ON WEB-CT.