Biostats Course VHM 801

Veterinary Biostatistics Course VHM 8010 at AVC - Winter Semester 2026

Welcome to the homepage of the biostats course VHM 801 at the Atlantic Veterinary College (AVC) within the University of Prince Edward Island (UPEI), last updated 14/4-2026.

This course will extraordinarily be offered in the winter semester (it is usually offered in the fall semester). 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.

Course assignments and exam

4th home assignment (10%): posted Thursday March 26, due April 2.
3rd home assignment (10%): posted Thursday March 12, due Thursday March 19. Solution.
Optional midterm exam, Thursday March 5. Solution.
2nd home assignment (10%): posted Thursday February 26, due Friday March 6. Solution.
1st home assignment (10%): to be posted Thursday Feb 5, due Thursday Feb 12. Solution.
Instructions for home assignments, written and oral exams.
Guidelines for project (optional, to replace the 4th home assignment).

Schedule for the Winter Semester 2026:

lectures (L) on Thursdays, 9:00-11:00am (mostly) in AVC 278N:
- first lecture on Jan 8, last lecture on Apr 9,
labs/practicals (P) on Mondays 1:00pm-3:00pm in the large computer lab (AVC 218S):
- first lab on Jan 12, last lab on Apr 13,
optional lab reviews (R) on Wednesdays 1:00pm-2:30pm in in AVC 278N:
- first lab review on Jan 14, last lab review on Apr 8,
optional open hours consultancy for VHM 801: Tuesdays 1-2pm,
home assignments on Feb 5, Feb 26, March 12, March 26 (deadlines one week later),
optional mid-term exam, Thursday Mar 5, 9:00-10:00am, AVC Lecture Theatre B,
final exam on Friday Apr 17, 9:00am-12:00pm in AVC 287N (written part) and 1:30pm-3:30pm in AVC 220S (oral part, see schedule below).

Session	Date	Hours	Room	Topics	Textbook reference
0-L	Mon 5/1	video		Introduction to the course
1-L	Thu 8/1	9-11	LC	Introduction; Data; Descriptive statistics	S:1.1+2+3; BM:1+2; MMC:1.1-2
1-P	Mon 12/1	13-15	CL	Meet Minitab	1:1,10,16,42,51,72,77; x:1; MM:ch8 (1:22,65; x:2; AI:1,2)
1-R	Wed 14/1	13-14:30	LC		S:2.1,3.2; 1:42,72
2-L	Thu 15/1	9-11	B	Sampling; Study design; Experimental design	S:1; BM:6+7; MMC:2.6+3.0-2
2-P	Mon 19/1	13-15	CL		2:7,67; 3:4,10,14,40,94; x:3 (2:69; 3:18,19,52,95; AI:3)
2-R	Wed 21/1	13-14:30	LC		S:1.2,1.3; 3:40; x:3
3-L	Thu 22/1	9-11	LC	Probability; Distributions and random variables	S:4; BM:9+10; MMC:4
3-P	Mon 26/1	13-15	CL		4:9,14,26,48,71,75,76,78,92,107,122; x:4 (4:10,52,56,73,108,115,123; x:5,6; AI:4)
3-R	Wed 28/1	13-14:30	LC		S:1.4,3.1,4.1; 4:9,71 (x:6)
4-L	Thu 29/1	9-11	LC	Normal and binomial distributions; Sampling distributions	S:5+6; BM:11+12+13; MMC:1.3+5
4-P	Mon 2/2	13-15	CL		1:110,111,113,117,121,127,145; 3:77,79; 5:33,49,51; x:4(c),7,8; home assign.2001:1 (1:123,144; 4:10,60; 5:47,53; x:9; AI:5)
4-R	Wed 4/2	13-14:30	LC		S:1.1,2.2,4.3; x:4(c); home assign.2001:1
5-L	Thu 5/2	9-11	LC	Statistical inference: estimation, confidence intervals, tests	S:7+8; BM:14+15.1-2; MMC:3.3+6.1-2
5-P	Mon 9/2	13-15	CL		3:74; 5:14; 6:13,14,33,55,68,70,87,95,103,140 (5:7,9,40,54; 6:11,12,20,45,46,47,85,96; x:10,11,12)
5-R	Wed 11/2	13-14:30	LC		S:5.3,6.1; 6:33,55,95; x:12
6-L	Thu 12/2	9-11	LC	One and two continuous samples	S:8+9; BM:17+18; MMC:7
6-P	Mon 23/2	13-15	CL		7:1,4,64,73,74,91,102,103,104,132,143,145 (6:108,142; 7:58,59,66,93; AI:6)
6-R	Wed 25/2	13-14:30	LC		S:7.1(a,b,c),8.8; 7:4,64,102,103
7-L	Thu 26/2	9-11	LC	One and two discrete samples; Non-parametric methods	S:8+9; BM:19+20+27.1-2; MMC:8
7-P	Mon 2/3	13-15	CL		7:68; 8:1,21,84,85; 27:8,19; x:13,14 (8:62,98; x:15; AI:7; midterm 2019)
7-R	Wed 4/3	13-14:30	LC		S:7.2(a),8.7; x:14; 27:8,19; midterm 2019
8-L	Thu 5/3	11-13	LC	Two-way tables; Statistical reporting	S:2.5+11.2; BM:5+20+22; MMC:2.5+8.2+9.1-2
8-P	Mon 9/3	13-15	CL		9:20,36,38,39,40,44,48,50,52; x:16 (9:62; AI:8; final 2014:1)
8-R	Wed 11/3	13-14:30	LC		S:8.9,11.2; 9:20,50; x:16; final 2014:1
9-L	Thu 12/3	9-11	LC	One-way analysis of variance	S:11.3; BM:24+26.1-2+27.3; MMC:12
9-P	Mon 16/3	13-15	CL		6:7; 12:1,9,25,40,43,54,55; 27:22,42; x:17,18 (12:27; final 2016:2; AI:9)
9-R	Wed 18/3	13-14:30	LC		S:11.3; 12:54,55; 27:42; x:18
10-L	Thu 19/3	9-11	B	Simple linear regression; Correlation	S:10.1-3; BM:3+4+23; MMC:2.1-4+10
10-P	Mon 23/3	13-15	CL		2:2,11,12,27,28,48,60; 10:7,12,17,27,33,38,39; x:19,20,21; final 2006:3; final 2016:2 (2:57,59; 10:18,26,40; x:22)
10-R	Wed 25/3	13-14:30	LC		S:10; 10:17,33; x:21; final 2006:3
11-L	Thu 26/3	9-11	LC	Multifactorial analysis (multiple regression; two-way analysis of variance)	S:10.4+BM:26.4-6+28.1-7; MMC:11+13
11-P	Mon 30/3	13-15	CL		11:15,16,17; 13:3,4,19,31; 26:7,8,33,37; 28:4,14 home assign.2003:4; final 2019:2 (11:6,45; 13:15,16; 26:17,18,19)
11-R	Thu 2/4	11:30-13:00	LC		S:9; 13:31; 26:37; 28:14; final 2019:2; home assign.2003:4
12-L	Thu 2/4	9-11	LC	Power and sample size; Statistical inference revisited	BM:15+19.4; MMC:6.4; notes
12-P	Tue 7/4	14:30-16:30	CL		6:38,39,99,107,115; 7:127; 8:33; 12:35,36; x:23 (6:103,108,111; 7:129; 8:103; final 2020:2; final 2016:1,3)
12-R	Wed 8/4	13-14:30	LC		S:7.1(d),7.2(b,c); 6:107; 7:127; 8:103; final 2020:2; x:23
13-L	Thu 9/4	9-11	LC	Course wrap-up
13-P	Mon 13/4	13-16	CL		final 2018f (all old exams 2016-2024)

LC = AVC Learning Commons, room 278N; B = AVC Lecture Theatre B (room 205N); CL = AVC large computer lab (218S)
legend for textbooks: S=Stephens; BM: Baldi & Moore; MMC: Moore, McCabe & Craig,

Other information

Practical info (course aim and organization, etc.)
Exercises and Datasets page
Links to statistical applets
Statistical tables: Tables A-F of PSLS 3e, Tables 1-5 of S
Minitab files from teaching sessions (lectures/labs)
Assorted media links
Course syllabus for mid-term exam
Course syllabus for final exam
Quiz questions for oral exam (final version)
Schedule for oral exam
Student list
Reporting of statistics in publications:
- Lang & Altman (2013), Basic statistical reporting for articles published in biomedical journals: the SAMPL guidelines (link to page at the Equator Network),
- Equator Network
- Another list of Research reporting guidelines and initiatives,
- Bailar & Mosteller (1988), Guidelines for statistical reporting in articles for medical journals, Ann Intern Med., 108, 266-73 (UPEI access/Moodle).
Note on course textbook
Announcement of Biostats VHM 801 course (e-mail 5/12-2025)
Link to course homepage for Fall Semester 2024
Link to course homepage for Fall Semester 2023
Link to course homepage for Fall Semester 2022
Link to course homepage for Fall Semester 2021
Link to course homepage for Fall Semester 2020
Link to course homepage for Fall Semester 2019
Link to course homepage for Fall Semester 2018
Link to course homepage for Winter Semester 2018
Link to course homepage for Fall Semester 2016

Contact

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

Henrik Stryhn (hstryhn@upei.ca)