VHM 802, Advanced Veterinary Biostatistics (e-mail 4/12-2023)

Announcement of Biostats VHM 8020 course at AVC (UPEI)

Please find below an outline of the course VHM 802: Advanced Veterinary Biostatistics 
for the Winter Semester 2023. To (informally) connect with the course, 
send an e-mail with name and affiliation to hstryhn@upei.ca. You may also 
indicate if the schedule outlined below is inconvenient - the schedule 
may be changed to suit the participants better (conditional upon available 
rooms for lectures and labs).

Based on the current recommendations from UPEI, the plan is for a course 
with all sessions conducted in-person. Plans may be revised at any time as 
necessary based on recommendations from UPEI and the Public Health Office of PEI. 

The course will be run in part jointly with VHM 8120: Epidemiology II
(Instructor: Dr. Javier Sanchez). Students may take VHM 802 separately
(3 credits) or in combination with VHM 812 (taken simultaneously or in a
previous year, 2 credits). When registering for the course at myUPEI, those 
two options are shown as separate courses (possibly labeled as A and B, 
or as 01 and 02); please register for the correct course! If in doubt, 
contact the course lecturer.

The course content may be adapted from the general outline below to match 
specific student interests; in particular, it is possible to include sessions 
on multivariate analysis, which constituted a major part of the course in 
the winter semester of 2021. The course may not be offered if the number 
of students registered is too low.

For any inquiries about the course, contact the course lecturer:

Henrik Stryhn,
Department of Health Management, AVC
office: 412S
phone: (902) 894-2847
e-mail: hstryhn@upei.ca

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Announcement of Biostats VHM 8020 course at AVC (UPEI)

Please find below an outline of the course VHM 802: Advanced Veterinary 
Biostatistics for the Winter Semester 2024. To (informally) connect with
the course, send an e-mail with name and affiliation to hstryhn@upei.ca.
You may also indicate if the schedule outlined below is inconvenient -
the schedule may be changed to suit the participants better (conditional
upon available rooms for lectures and labs). 

Based on the current recommendations from UPEI, the plan is for a course 
with all sessions conducted in-person. Plans may be revised at any time 
as necessary based on recommendations from UPEI and the Public Health Office of PEI.

The course will be run in part jointly with VHM 8120: Epidemiology II
(Instructor: Dr. Javier Sanchez). Students may take VHM 802 separately
(3 credits) or in combination with VHM 812 (taken simultaneously or in a
previous year, 2 credits). Because of the choice between these two versions 
of the course, it is recommended that you connect with the course instructor 
before registering officially at the myUPEI web portal, in order to increase 
the chance of getting registered correctly!

The course content may be adapted from the general outline below to match 
specific student interests; in particular, it is possible to include sessions 
on multivariate analysis, which constituted a major part of the course in 
the winter semesters of 2021 and 2023. The course may not be offered if 
the number of students registered is too low.

For any inquiries about the course, contact the course lecturer:

Henrik Stryhn,
Department of Health Management, AVC
office: 412S
phone: (902) 894-2847
e-mail: hstryhn@upei.ca

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Biostats VHM 802 Course - Winter Semester 2024

Preliminary schedule:
- time: January 5 - April 15; first session January 5, 9am-12pm.
- lectures joint with VHM 812:
  Tuesdays 1-4pm and Fridays 9am-12pm in AVC 280N (mostly), 5/1-6/2 and 
  one week in March,
- lectures for VHM 802 only:
  Thursdays 9-11am in AVC 278N (or 280N), 8/2-11/4 (excl one week in March),
- labs: Mondays 1-4pm (mostly) in AVC 218S (computer lab), start 8/1

Course format:
Weekly lectures reviewing the theory and working through minor
exercises, supplemented by weekly lab sessions containing tutorials
of statistical software, individual work (statistical analyses) using
computers, discussions and student presentations. In weeks taught
jointly with VHM 812, the course has two lecture/review sessions instead
of one lecture and one lab session.
An applied course project is anticipated for each student, based on the
student's own data or literature data relevant to the student's research.

Textbook:
(1) Chapters 14 and 16 of Dohoo, Martin and Stryhn: Veterinary
Epidemiological Research; students not taking the epi course will be
given chapter handouts.
(2) Gary Oehlert: A first Course in Design and Analysis of Experiments,
2000, W.H. Freeman, ISBN 0716735105. The text is out of print, but can
be downloaded for free at http://www.stat.umn.edu/~gary/.

These texts covers the main course material, with supplementary
notes for some subjects and supplementary exercises.

Course content overview:
Regression analysis (multiple linear regression and logistic regression
models)
Experimental design and ANOVA analysis (multifactorial models)
Random effects models and repeated measures models
Power and sample size
Option for material on multivariate analysis

Detailed course topics (keywords):
Simple linear and polynomial regression
Multiple linear regression (model selection, regression diagnostics)
Analysis of covariance and General linear models
Logistic regression and generalized linear models
Analysis of variance (1-way, 2-way and multifactorial),
Experimental designs: blocking versus replication,
complete/incomplete designs, Latin squares and balanced
incomplete designs, cross-over designs, fractional designs,
Random effects models (e.g. split-plot designs and hierarchically
nested factors)
Repeated measures models and analysis
Methods for dealing with clustering in continuous and discrete data
Power and sample size calculation in simple and complex models
Option for multivariate topics: principal components and factor analysis, 
cluster analysis, classification methods
Primary statistical computer packages: Minitab and/or Stata
Additional statistical computer packages: SAS and R

Examination:
home assignments, course project and final exam

Prerequisites:
equivalent to VHM 801 (see http://stryhnstatistics.ca/vhm801)
familiarity with a major statistical software package

Further information:
http://stryhnstatistics.ca/vhm802
(with a more detailed schedule and links to previous years' homepages)