Syllabus for Biostats Course VHM 801 at AVC - Fall semester 2016
The syllabus for the final exam of VHM 801 broadly consists of the
material covered in Sessions 1-13 of the course. For each of the
textbooks allowed (see note on textbook), this corresponds
roughly to the following material.
Baldi & Moore (3rd): Chapters 1-5, 7-15, 17-20, 22-24,
- exclude Sections (numbering following the Contents, e.g. 1.0-1.7 for Chapter 1) 1.7, 7.5,
8.5, 8.6, 9.7, 9.8, 10.4, 10.5, 10.6, 12.7, 12.8, 18.7, 20.6, 20.7.
Stephens (V4.1): Chapters 1-11,
- exclude Sections 1.3, 2.5, 4.5, 10.4, 11.1
- include (from another book or lecture handouts) material on sampling
and experimental design,
- include (from another book or lecture handouts) more advanced
material on one and two proportions,
- include (from another book or lecture handouts) confidence and prediction intervals for linear regression,
- include (from another book or lecture handouts) more detailed material on two-way tables and one-way ANOVA.
Moore, McCabe & Craig (7th): Chapters 1-10, 12-13:
- exclude Sections 3.4, 6.4, 7.3, 9.3
- exclude all "Beyond the basics" sections, except pp. 477-79 and 494-96 ("plus four" method for one and two proportions),
- exclude specific formulae for power calculations for t-tests (Section 7.1) and the F-test of one-way ANOVA (Section 12.2).
Additional material included (regardless of which textbook is used):
- Supplementary Chapter 26 of Baldi & Moore, excluding Section 26.3 (contrasts),
- Supplementary Chapter 27 of Baldi & Moore; note
however that calculations of P-values for rank-based tests is not
included,
- Supplementary Notes on sample size calculations, Section 1,
- the Bonferroni method for pairwise comparisons in ANOVA (not in
Baldi & Moore and Stevens textbooks),
- model checking by residuals for regression and ANOVA (not in Stevens
textbook),
- the t-test for correlations (not in Baldi & Moore and Stevens textbooks).
Specific topics not included in the final exam syllabus:
- Bayes formula, tree diagrams,
- McNemar's test,
- the Poisson distribution,
- Fisher's exact test,
- contrasts for ANOVA,
- Spearman's rank correlation (rho),
- Bayesian methods,
- Friedman's test.
Henrik Stryhn
(hstryhn@upei.ca) 2016-11-21