Biostats Course VHM 801

Biostats Course VHM 801 (VHM-8010-1) at AVC - Fall Semester 2020

Welcome to the homepage of the biostats course VHM 801 at AVC, last updated 18/12-2020.

Course assignments and exam

Final exam on Monday Dec 14. Solution.
4th home assignment (15%): posted Monday Nov 16, due Thursday Nov 26.
3rd home assignment (15%): posted Thursday Nov 5, due Thursday Nov 12. Solution.
2nd home assignment (15%): posted Thursday Oct 15, due Thursday Oct 22. Solution.
1st home assignment (15%): posted Thursday Oct 1, due Thursday Oct 8. Solution.
Instructions for home assignments, quizzes and exam.
Guidelines for project (optional, to replace the 4th home assignment).

Schedule for the Fall Semester 2020:

(Note that the course schedule, with a mixture of in-class and online sessions, is tentative and may be changed at a later time.)

asynchronous video lectures (L) of approximately 2 hours' duration posted on Thursdays (morning)
- first lecture on Sep 3, last lecture on Dec 3,
in-class and synchronously online streamed (in part) labs/practicals (P) on Mondays 1-3pm in the large computer lab (AVC 218S), except for some Fridays (1-3pm): Sep 4, Sep 11, Oct 9
- first lab on Sep 4, last lab on Dec 7,
synchronous online lab reviews (R) and Q&A sessions: Tuesdays 1-3pm,
home assignments on Oct 1, Oct 13, Nov 5, Nov 19 (deadlines one week later),
24-hour take-home final exam starting on Monday Dec 14 at 9am.

All students who wish to participate in in-class sessions, must comply with UPEI's rules for accessing and using the campus (general link, Stage 3 link) during the COVID-19 pandemic.

Session Date Hours Room Topics Textbook reference
0-L Mon 31/8 video Introduction to the course
1-L Thu 3/9 video Data; Descriptive statistics S:1.1+2+3; BM:1+2; MMC:1.1-2
1-P Fri 4/9 13-15 CL(video) Meet Minitab 1:1,10,16,42,51,65,72; x:1; MM:ch8 (1:22,77; x:2)
2-L Thu 10/9 video Sampling; Study design; Experimental design S:1; BM:6+7; MMC:2.6+3.0-2
1-P Fri 11/9 13-15 CL Meet Minitab (second offering)
2-P Mon 14/9 13-15 CL(video) 2:7,67; 3:4,10,14,40,94; x:3 (2:69; 3:18,19,52,95)
2-R Tue 15/9 13-15 stream 3:10,40
3-L Thu 17/9 video Probability; Distributions and random variables S:4; BM:9+10; MMC:4
3-P Mon 21/9 13-15 CL(video) 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)
3-R Tue 22/9 13-15 stream 4:9,71; x:4
4-L Thu 24/9 video Normal and binomial distributions; Sampling distributions S:5+6; BM:11+12+13; MMC:1.3+5
4-P Mon 28/9 13-15 CL(video) 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)
4-R Tue 29/9 13-15 stream 5:49,51; home assign.2001:1
5-L Thu 1/10 video Statistical inference: estimation, confidence intervals, tests S:7+8; BM:14+15.1-2; MMC:3.3+6.1-2
5-P Mon 5/10 13-15 CL(video) 5:7,14,54; 6:13,14,33,45,68,70,87,95,103,140 (5:9,40; 6:11,12,46,85,96; x:10,11,12,13)
5-R Tue 6/10 13-15 stream 5:7; 6:33,95; x:13
6-L Thu 8/10 video One and two continuous samples S:8-9; BM:17+18; MMC:7
6-P Fri 9/10 13-15 CL(video) 7:4,50,64,73,74,91,102,103,104,132,143,145 (6:108,142; 7:58,59,66,93; home assign.2009:2)
6-P Mon 19/10 13-15 CL (second offering)
6-R Tue 20/10 13-15 stream 7:4,64,102,103
7-L Thu 22/10 video One and two discrete samples; Non-parametric methods S:8-9; BM:19+20+27.1-2; MMC:8
7-P Mon 26/10 13-15 CL(video) 7:68; 8:1,21,62,84,85; 27:8,19; x:14,15 (8:98; x:16; midterm 2012; midterm 2013)
7-R Tue 27/10 13-15 stream x:14; 27:19; midterm 2013
8-L Thu 29/10 video 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 2/11 13-15 CL(video) 9:20,36,38,39,40,44,48,50,52; x:17 (9:62; final 2013:1; final 2014:1)
8-R Tue 3/11 13-15 stream 9:20,50,62; x:17; final 2014:1
9-L Thu 5/11 video One-way analysis of variance S:11.3; BM:24+26.1-2+27.3; MMC:12
9-P Mon 9/11 13-15 CL(video) 6:7; 12:1,9,25,40,43,54,55; 27:22; x:18,19 (12:27; 27:45; final 2014:2)
9-R Tue 10/11 13-15 stream 12:54,55; 27:45; x:19
10-L Thu 12/11 video: 1 2 Simple linear regression; Correlation S:10.1-3; BM:3+4+23; MMC:2.1-4+10; IPS supplement (regression)
10-P Mon 16/11 13-15 CL(video) 2:2,11,12,27,28,48,60; 10:7,12,17,27,33,38,39; x:20,21; final2006:3; final2012:1 (2:57,59; 10:18,26,40; x:22)
10-R Tue 17/11 13-15 stream 10:17,33; x:21; final2006:3
11-L Thu 19/11 video 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 23/11 13-15 CL(video) 11:15,16,17; 13:3,4,19,31; 26:7,8,33,37; 28:4,14 home assign.2003:4; final 2013:2 (11:6,45; 13:15,16; 26:17,18,19)
11-R Tue 24/11 13-15 stream 13:31; 26:37; 28:14; final 2013:2; home assign.2003:4
12-L Thu 26/11 video Power and sample size; Statistical inference revisited BM:15+19.4; MMC:6.4; notes
12-P Mon 30/11 13-15 CL(video) 6:38,39,99,107,115; 7:127; 8:33; 12:35,36; x:23 (6:111; 7:129; 8:103; final 2012:1,2; final 2014:3)
12-R Tue 1/12 13-15 stream 6:107; 7:127; 8:103; final 2014:3; x:23
13-L Thu 3/12 video Course wrap-up final 2015
13-P Mon 7/12 13-15 stream(video)
13-R Tue 8/12 13-15 stream final 2018f
CL = AVC large computer lab (218S),
legend for textbooks: S=Stephens; BM: Baldi & Moore; MMC: Moore, McCabe & Craig,

Session	Date	Hours	Room	Topics	Textbook reference
0-L	Mon 31/8	video	Introduction to the course
1-L	Thu 3/9	video	Data; Descriptive statistics	S:1.1+2+3; BM:1+2; MMC:1.1-2
1-P	Fri 4/9	13-15	CL(video)	Meet Minitab	1:1,10,16,42,51,65,72; x:1; MM:ch8 (1:22,77; x:2)
2-L	Thu 10/9	video	Sampling; Study design; Experimental design	S:1; BM:6+7; MMC:2.6+3.0-2
1-P	Fri 11/9	13-15	CL	Meet Minitab (second offering)
2-P	Mon 14/9	13-15	CL(video)		2:7,67; 3:4,10,14,40,94; x:3 (2:69; 3:18,19,52,95)
2-R	Tue 15/9	13-15	stream		3:10,40
3-L	Thu 17/9	video	Probability; Distributions and random variables	S:4; BM:9+10; MMC:4
3-P	Mon 21/9	13-15	CL(video)		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)
3-R	Tue 22/9	13-15	stream		4:9,71; x:4
4-L	Thu 24/9	video	Normal and binomial distributions; Sampling distributions	S:5+6; BM:11+12+13; MMC:1.3+5
4-P	Mon 28/9	13-15	CL(video)		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)
4-R	Tue 29/9	13-15	stream		5:49,51; home assign.2001:1
5-L	Thu 1/10	video	Statistical inference: estimation, confidence intervals, tests	S:7+8; BM:14+15.1-2; MMC:3.3+6.1-2
5-P	Mon 5/10	13-15	CL(video)		5:7,14,54; 6:13,14,33,45,68,70,87,95,103,140 (5:9,40; 6:11,12,46,85,96; x:10,11,12,13)
5-R	Tue 6/10	13-15	stream		5:7; 6:33,95; x:13
6-L	Thu 8/10	video	One and two continuous samples	S:8-9; BM:17+18; MMC:7
6-P	Fri 9/10	13-15	CL(video)		7:4,50,64,73,74,91,102,103,104,132,143,145 (6:108,142; 7:58,59,66,93; home assign.2009:2)
6-P	Mon 19/10	13-15	CL	(second offering)
6-R	Tue 20/10	13-15	stream		7:4,64,102,103
7-L	Thu 22/10	video	One and two discrete samples; Non-parametric methods	S:8-9; BM:19+20+27.1-2; MMC:8
7-P	Mon 26/10	13-15	CL(video)		7:68; 8:1,21,62,84,85; 27:8,19; x:14,15 (8:98; x:16; midterm 2012; midterm 2013)
7-R	Tue 27/10	13-15	stream		x:14; 27:19; midterm 2013
8-L	Thu 29/10	video	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 2/11	13-15	CL(video)		9:20,36,38,39,40,44,48,50,52; x:17 (9:62; final 2013:1; final 2014:1)
8-R	Tue 3/11	13-15	stream		9:20,50,62; x:17; final 2014:1
9-L	Thu 5/11	video	One-way analysis of variance	S:11.3; BM:24+26.1-2+27.3; MMC:12
9-P	Mon 9/11	13-15	CL(video)		6:7; 12:1,9,25,40,43,54,55; 27:22; x:18,19 (12:27; 27:45; final 2014:2)
9-R	Tue 10/11	13-15	stream		12:54,55; 27:45; x:19
10-L	Thu 12/11	video: 1 2	Simple linear regression; Correlation	S:10.1-3; BM:3+4+23; MMC:2.1-4+10; IPS supplement (regression)
10-P	Mon 16/11	13-15	CL(video)		2:2,11,12,27,28,48,60; 10:7,12,17,27,33,38,39; x:20,21; final2006:3; final2012:1 (2:57,59; 10:18,26,40; x:22)
10-R	Tue 17/11	13-15	stream		10:17,33; x:21; final2006:3
11-L	Thu 19/11	video	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 23/11	13-15	CL(video)		11:15,16,17; 13:3,4,19,31; 26:7,8,33,37; 28:4,14 home assign.2003:4; final 2013:2 (11:6,45; 13:15,16; 26:17,18,19)
11-R	Tue 24/11	13-15	stream		13:31; 26:37; 28:14; final 2013:2; home assign.2003:4
12-L	Thu 26/11	video	Power and sample size; Statistical inference revisited	BM:15+19.4; MMC:6.4; notes
12-P	Mon 30/11	13-15	CL(video)		6:38,39,99,107,115; 7:127; 8:33; 12:35,36; x:23 (6:111; 7:129; 8:103; final 2012:1,2; final 2014:3)
12-R	Tue 1/12	13-15	stream		6:107; 7:127; 8:103; final 2014:3; x:23
13-L	Thu 3/12	video	Course wrap-up	final 2015
13-P	Mon 7/12	13-15	stream(video)
13-R	Tue 8/12	13-15	stream		final 2018f

Other information

Practical info (course aim and organization, etc.)
Solutions and do-files for exercises
Links to statistical applets
Statistical tables: Tables A-F of PSLS 3e, Tables 1-5 of S
Minitab files from teaching sessions (lectures/labs/reviews)
Assorted media links
Course syllabus (for final exam)
Student list
List of articles used for Home assignment IV
Note on course textbook
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).
Announcement of Biostats VHM 801 course (e-mail 31/7-2020)
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
Link to course homepage for Fall Semester 2015
Link to course homepage for Fall Semester 2014
Link to course homepage for Fall Semester 2013
Link to course homepage for Fall Semester 2012

Contact

Henrik Stryhn, Department of Health Management, Atlantic Veterinary College,
room 412S, phone: (902) 894-2847, fax: (902) 566-0823, e-mail: hstryhn@upei.ca.

Henrik Stryhn (hstryhn@upei.ca)