EPIB 607

Principles of Inferential Statistics in Medicine


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 on myCourses
.
Texts: Recommended 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:
These are available as a PDF document on webCT to download.

Additional resource:
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.



Note on academic integrity:

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).