Syllabus for Biostats Course VHM 802 at AVC - Winter Semester
2015
The syllabus for the exam of VHM 802 consists of:
- A First Course in Design and Analysis of Experiments, by Gary Oehlert (GO):
Chapters 3-5, 7-9, 11-14 and 16,
- Veterinary Epidemiologic Research, 2nd ed., by Dohoo, Martin and Stryhn (VER):
Chapters 14-16 and 20-22,
- Course notes on Linear mixed models
and Longitudinal data,
except for the listed exceptions and additions below:
- GO sections listed explicitly as omissions in Sessions 6-12,
- VER Sections 20.5.3 and 20.4.4, 21.3-5, 22.3-6,
- material about contrasts in GO beyond basic comparison of
treatment groups and contrasts representing polynomial regression terms,
- Hasse diagrams and their use to construct ANOVA tables for random
effects models,
- the part of the notes on Longitudinal data dealing with repeated measures ANOVA (and
accompanying SAS programs).
Additional material presented at the lectures is generally not directly part of
the syllabus, but the corresponding sections of the books and notes are (unless
listed above). One exception to this rule is the material in Session 9 on cross-over designs which
is included in the syllabus. Furthermore included in the syllabus is the programming
of the models/analyses in Minitab or Stata and the interpretation of the
corresponding output.
Finally, students not taking the regression part of VHM 802 (because
they already have taken or simultaneously take VHM 812) will not be examined
in the regression portions of the syllabus (VER: Chapters 14-16).
Notes about exam
Basically, two types of data analysis are possible without interactive
computer access:
- interpret Minitab and Stata listings for one or
several analyses already carried out for the data, possibly involving
calculation of additional statistics from values given in the listings
(e.g.: confidence intervals, test statistics, contrasts),
- suggest statistical model(s) and outline statistical analyses to be
carried out for the given data, including interpretation of the results
that would be obtained.
Other types of assignments could involve (limited) calculation by pocket
calculator (e.g. for experimental design) or multiple choice between
different statements about components of a statistical analysis.
Henrik Stryhn
(hstryhn@upei.ca) 2015-04-07