Biostats Course VHM 802 at AVC - Winter Semester 2016

Welcome to the homepage of VHM 802: Advanced Veterinary Biostatistics, last updated 25/4 2016.

In 2016, 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 2.9, due 29/1 (only for students not combining VHM 802 with VHM 812),
  2. Multiple logistic regression: Additional exercise 4.4, due 18/2 (only for students not combining VHM 802 with VHM 812),
  3. Analysis of variance I: Additional exercise 7.7, due 29/2,
  4. Analysis of variance II: GO Problem 13.8, due 10/3,
  5. Random effects models: Additional exercise 10.5, due 24/3,
  6. Repeated measures models: Additional exercise 10.8, due 4/4.
• project (30%): outline due: March 14; seminars on April 7; report due: April 8. Practical info about presentation and report.
• exam (30%, open-book): April 21, 9am-12pm, AVC Learning Commons 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 5/1	13-16	LC1	Introduction; Simple linear regression and extensions	VER:14.1-3 (14.8-10)
1b-LJ	Fri 8/1	9-12	LC	Multiple linear regression	VER:14.1-3,5 (14.8-10)
2a-LJ: 1 2	Tue 12/1	13-16	LC2	Model building for linear regression	VER:14.4,6,7; VER14:1
2b-LJ	Fri 15/1	9-12	LC	Linear regression diagnostics	VER:14.8-10
2-PJ	Mon 18/1	9-12	CL	Regression analysis using Minitab/Stata	add2:4,7,11; VER14:2,3 (add2:1,5,6)
3a-LJ: 1 2	Tue 19/1	13-16	LC2	Model building and presentation	VER:14.11; VER:15; VER:30
3b-LJ	Fri 22/1	9-12	LC	Introduction to logistic regression	VER:16.1-5,8
4a-LJ	Tue 26/1	13-16	LC1	Inference for logistic regression	VER:16.1-8; VER15
4b-LJ	Fri 29/1	9-12	LC	Model building for logistic regression	VER:16.8-11
4-PJ	Mon 1/2	9-12	CL	Logistic regression using Minitab/Stata	add4:1,3; VER16:1,2 (add2:8,10)
5a-LJ	Tue 2/2	13-16	LC1	Diagnostics for logistic regression	VER:16.12
5b-LJ: 1 2	Fri 5/2	13-16	LC	Exact and conditional logistic regression	VER:16.13-15; VER16:3
6-LS	Thu 11/2	9-11	LC1	ANOVA, contrasts, multiple comparisons	GO:3-5 (GO:1,2,6)
6-PS	Fri 12/2	13-16	CL		GO:3.2,3.5,4.2,4.3,5.1; add6:1
7-LS	Thu 18/2	9-11	LC	Multifactorial designs	GO:8-9 + 10.1-2
7-PS	Mon 22/2	9-12	CL		add7:1; add2:12; add7:4; GO:8.3 (exam2007:2; GO:8.7)
8-LS	Thu 25/2	9-11	LC	Experimental design; Block designs: Latin square, BIBD	GO:1,13,14 (DV:2; UPEI link only)
8-PS	Mon 29/2	9-12	CL		add7:2; add7:3,6; GO: Ex 13.5,14.4 (GO: Pb 13.4; add7:5)
9-LS	Thu 3/3	9-11	LC	Cross-over designs; Random effects models	GO:11 + 16.7 + notes
9-PS	Mon 7/3	9-12	CL		add9:1; add9:2; add10:1,2,3
10-LS	Thu 10/3	9-11	LC	Random effects models; Split-plot designs	GO:12 + 16.1-5 + notes
10-PS	Mon 14/3	9:30-12:30	CL		add10:4; GO: Pb 16.2, 16.3, 16.4 (add10:1)
11a-LJ: 1 2	Tue 15/3	13:30-16:30	LC1	Introduction to clustered data; Clustered linear models	VER:20+21.1-2,5
11b-LJ: 1 2	Fri 18/3	9-12	LC	Clustered generalised linear models	VER:22.1-4+23.5; VER20
11-PS	Thu 21/3	13-16	CL		add10:6,7; VER22; exam2013:2; exam2014:2 (VER20)
12-LS	Thu 24/3	9-11	LC	Repeated measures models	GO:16.6 + notes
12-PS	Wed 30/3	13-16	CL		add10:9,10,11; exam2012:1 (add10:7; VER22)
13-LS	Thu 31/3	9-11	LC	Sample size and power	GO:7 + 10.3 + notes
13-PS	Mon 4/4	9-12	CL		GO: Ex 7.5; add ch13:1-5; exam2012:2; exam2013:1
14-LS	Thu 7/4	9-11	LC	Project presentations
14-PS	Mon 11/4	9-12	CL2		exam2011: 1,2,3; exam2014:1,3; exam2012:3; (exam2008; exam2015)
15-LS	Thu 14/4	9-11	LC	Course wrap-up and evaluation

LC = AVC Learning Commons 286CN; LC1 = AVC Learning Commons 278N; LC2 = AVC Learning Commons 280N; CL = Computer Lab (room 218S); CL2 = Small Computer Lab (room 225N)
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); note the list of misprints,
• 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.
• Misuse of multiple comparison tests and underuse of contrast procedures in aquaculture publications, Aquaculture 437 (2015), 344-350. (UPEI access; also available at Moodle account)
• Link to lecture: Applied statistics at AVC: How to deal with repeated measures data
• Course announcement (e-mail 9/12-2015)
• 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
• Link to course homepage for Winter Semester 2014
• Link to course homepage for Winter Semester 2015

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