Biostats Course VHM 802 at AVC - Winter Semester 2014

Welcome to the homepage of VHM 802: Advanced Veterinary Biostatistics, last updated 30/4 2014.

In 2014, the course will again be run in part jointly with VHM 812 (Epidemiology II). Students may take VHM 802 separately (3 credits) or in combination with VHM 812 (taken simultaneously or in a previous year, 2 credits).

Course work and exam

• home assignments (40%; practical info):
  1. Multiple linear regression: Additional exercise 2.7, due 31/1 (only for students not combining VHM 802 with VHM 812),
  2. Multiple logistic regression: Additional exercise 4.4, due 20/2 (only for students not combining VHM 802 with VHM 812),
  3. Analysis of variance I: Additional exercise 7.7, due 3/3,
  4. Analysis of variance II: GO Problem 13.8, due 14/3,
  5. Random effects models: Additional exercise 10.5, due 31/3,
  6. Repeated measures models: Additional exercise 10.8, due 7/4.
• project (30%): outline due: March 17; seminars on April 10; report due: April 11. Practical info about presentation and report.
• exam (30%, open-book): April 22, 9am-12pm, AVC 278N. Solution

Schedule
(L/P=lecture/lab; J/S=joint with VHM 812/separate for VHM 802)

Session	Date	Hours	Room	Topics	Course book
1a-LJ	Tue 7/1	13-16	LC	Introduction; Simple linear regression and extensions	VER:14.1-3 (14.8-10)
1b-LJ	Fri 10/1	9-12	LC1	Multiple linear regression	VER:14.1-3,5
2a-LJ	Tue 14/1	13-16	S	Model building for linear regression	VER:14.4,6,7; VER14:1
2b-LJ: 1 2	Fri 17/1	9-12	LC1	Linear regression diagnostics	VER:14.8-10; VER14:2
2-PJ	Mon 20/1	13-16	CL	Regression analysis using Minitab/Stata	add2:1,4,5,6; VER14:2,3
3a-LJ: 1 2	Tue 21/1	13-16	LC	Model building and presentation	VER:15
3b-LJ	Fri 24/1	9-12	LC1	Introduction to logistic regression	VER:16.1-5,8; VER14:3
4a-LJ	Tue 28/1	13-16	LC2	Inference for logistic regression	VER:16.1-8
4b-LJ	Fri 31/1	9-12	LC1	Model building for logistic regression	VER:16.8-11; VER15
4-PJ	Mon 3/2	13-16	CL	Logistic regression using Minitab/Stata	add2:9; VER:15; add4:1; VER16:1 (add2:10; add4:3)
5a-LJ	Tue 4/2	13-16	LC	Diagnostics for logistic regression	VER:16.12; VER16:1
5b-LJ: 1 2	Fri 7/2	9-12	LC1	Exact and conditional logistic regression	VER:16.13-15; VER16:2-3
6-LS	Thu 13/2	9-11	LC	ANOVA, contrasts, multiple comparisons	GO:3-5 (GO:1,2,6)
6-PS	Fri 14/2	13-16	CL		GO:3.2,3.5,4.2,4.3,5.1; add6:1
7-LS	Fri 21/2	12:30-14:30	LC	Multifactorial designs	GO:8-9 + 10.1-2
7-PS	Mon 24/2	13-16	CL		add7:1,4; GO:8.3 (exam2007:2; GO:8.7; add7:9)
8-LS	Thu 27/2	9-11	LC	Experimental design; Block designs: Latin square, BIBD	GO:1,13,14; (DV:2; UPEI link only)
8-PS	Mon 3/3	13-16	CL		add7:2,3,6; GO: Ex 13.5,14.4 (GO: Pb 13.4; add7:5)
9-LS	Thu 6/3	9-11	LC	Cross-over designs; Random effects models	GO:11 + 16.7 + notes
9-PS	Mon 10/3	13-16	CL		add ch9: 1, 2, add ch10: 1, 2, 3
9b-PS	Mon 17/3	13-16	CL		add ch10: 1, 4 (add ch9: 1(b); add ch10: 2,3)
11a-LJ: 1 2	Tue 18/3	13-16	LC	Introduction to clustered data; Clustered linear models	VER:20.1-3+21.1-2,5
10-LS	Thu 20/3	9-11	LC	Random effects models; Split-plot designs	GO:12 + 16.1-5 + notes
11b-LJ: 1 2	Fri 21/3	9-12	LC1	Clustered generalised linear models	VER:22.1-4+23.5; VER20
10-PS	Mon 24/3	13-16	CL		GO: Pb 16.2, 16.3, 16.4 (VER: 20, 22)
12-LS	Fri 28/3	10-12	E	Repeated measures models	GO:16.6 + notes; VER22
12-PS	Mon 31/3	13-16	CL		add ch10: 7, 10; exam2006:2 (add ch10: 6)
13-LS	Thu 3/4	9-11	LC	Sample size and power; Missing values	GO:7 + 10.3 + notes
13-PS	Mon 7/4	13-16	CL		GO: Ex 7.5; add ch12:1-4; add ch10:9; exam2006:1,2
14-LS: 1 2	Thu 10/4	9-11	LC	Project presentations; Course wrap-up and evaluation
14-PS	Wed 16/4	13-16	EL		exam2007:1,3; exam2011: 1,2,3 (exam2012; exam2013)

LC = AVC Learning Commons 278N; LC1 = AVC Learning Commons 280N; LC2 = AVC Learning Commons 286BN; S = AVC 3 North seminar room 343N; CL = Computer Lab (room 225N); E = Epidemiology seminar room (220S); EL = epilab (211N)
Note: exercises in italics should be prepared before the lab

Other information

• Practical info (course aim and organization etc.)
• Student list
• Exercises and Datasets page
• Minitab/Stata files from lectures and labs
• Course syllabus and Notes about exam
• Course evaluation (questionnaire)
• Course textbook:
  Gary Oehlert, A First Course in Design and Analysis of Experiments, 2000. W.H. Freeman, ISBN 716735105 (Out of print, but available for free download at the web-address).
• Additional (required) course material:
  Chapters 14-16 of: Dohoo IR, Martin SW, Stryhn H, Veterinary Epidemiologic Research (VER), 2nd ed, 2009. VER-Inc, Charlottetown, Canada; the same chapters of Methods in Epidemiological Research may be used instead),
• Supplementary course textbook:
  Dean A & Voss D (DV), Design and Analysis of Experiments, 1999, Springer; available as e-book at UPEI library
• Supplementary course textbook:
  Hilbe JM, Logistic Regression Models, 2009, CRC Press.
• Supplementary text (old textbook):
  Ronald Christensen (RC), Analysis of Variance, Design and Regression, 1996. Chapman & Hall / CRC Press, ISBN 0412062917.
• Course announcement (e-mail 2/12-2013)
• Link to course homepage for Winter Semester 2006
• Link to course homepage for Winter Semester 2007
• Link to course homepage for Winter Semester 2008
• Link to course homepage for Winter Semester 2011
• Link to course homepage for Winter Semester 2012
• Link to course homepage for Winter Semester 2013

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