Biostats Course VHM 802 at AVC - Winter Semester 2015

Welcome to the homepage of the biostats course VHM 802 at AVC, last updated 30/4 2015.

In 2015, 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 2.8, due 2/2 (only for students not combining VHM 802 with VHM 812),
  2. Multiple logistic regression: Additional exercise 4.4, due 19/2 (only for students not combining VHM 802 with VHM 812),
  3. Analysis of variance I: Additional exercise 7.7, due 2/3,
  4. Analysis of variance II: GO Problem 13.8, due 11/3,
  5. Random effects models: Additional exercise 10.5, due 30/3,
  6. Repeated measures models: Additional exercise 10.8, due 8/4.
• project (30%): outline due: March 17; seminars on April 8; report due: April 13. Practical info about presentation and report.
• exam (30%, open-book): April 22, 9am-12pm, Lecture Theatre B. 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 6/1	13-16	LC	Introduction; Simple linear regression and extensions	VER:14.1-3 (14.8-10)
1b-LJ	Fri 9/1	9-12	LC	Multiple linear regression	VER:14.1-3 (14.8-10)
2a-LJ	Tue 13/1	13-16	LC	Model building for linear regression	VER:14.4,6,7; VER14:1
2b-LJ	Fri 16/1	9-12	LC	Linear regression diagnostics and collinearity	VER:14.5,8-10; VER14:2
2-PJ	Mon 19/1	13-16	CL	Regression analysis using Minitab/Stata	add2:4,6,7; VER14:2,3 (add2:1,5)
3a-LJ: 1 2	Tue 20/1	13-16	LC	Model building and presentation	VER:15
3b-LJ	Fri 23/1	9-12	LC	Introduction to logistic regression	VER:16.1-5,8; VER14:3
4a-LJ	Thu 29/1	8-11	LC2	Inference for logistic regression	VER:16.1-8; VER15
4b-LJ	Fri 30/1	9-12	LC	Model building for logistic regression	VER:16.8-11
4-PJ	Mon 2/2	13-16	CL	Logistic regression using Minitab/Stata	add2:9,10; add4:1; VER15; VER16:1 (add4:3)
5a-LJ	Wed 4/2	9-12	LC	Diagnostics for logistic regression	VER:16.12
5b-LJ	Fri 6/2	13-16	LC	Conditional logistic regression	VER:16.15; VER16:2,3
6-LS	Wed 11/2	9-11	LC	ANOVA, contrasts, multiple comparisons	GO:3-5 (GO:1,2,6)
6-PS	Fri 13/2	13-16	CL		GO:3.2,3.5,4.2,4.3,5.1; add6:1
7-LS	Wed 18/2	9-11	LC2	Multifactorial designs	GO:8-9 + 10.1-2
7-PS	Mon 23/2	13-16	EL		add7:1; add7:4; GO:8.3 (exam2007:2; GO:8.7; add7:9)
8-LS	Wed 25/2	9-11	LC2	Experimental design; Block designs: Latin square, BIBD	GO:1,13,14; (DV:2; UPEI link only)
8-PS	Mon 2/3	13-16	EL		add7:2; add7:3,6; GO: Ex 13.5,14.4 (GO: Pb 13.4; add7:5)
9-LS	Wed 11/3	9-11	LC2	Cross-over designs; Random effects models	GO:11 + 16.7 + notes
9-PS	Tue 17/3	13-16	EL		add9:1; add9:2; add10:1,2,3
10-LS	Thu 19/3	14-16	LC2	Random effects models; Split-plot designs	GO:12 + 16.1-5 + notes
11a-LJ: 1 2	Fri 20/3	9-12	LC	Introduction to clustered data; Clustered linear models	VER:20+21.1-2,5
10-PS	Mon 23/3	13-16	EL		add10:4; GO: Pb 16.2, 16.3, 16.4 (VER:20; add10:1)
11b-LJ: 1 2	Tue 24/3	13-16	LC2	Clustered generalised linear models	VER:22.1-4+23.5; VER20
12-LS	Wed 25/3	9-11	LC	Repeated measures models	GO:16.6 + notes
12-PS	Mon 30/3	13-16	EL		VER20; add10:7,10; exam2006:2 (add10:6)
13-LS	Wed 1/4	9-11	LC2	Sample size and power	GO:7 + 10.3 + notes
13-PS	Thu 2/4	13-16	EL		VER22; GO: Ex 7.5; add ch13:1-4; exam2006:1,2
14-LS: 1 2	Wed 8/4	9-11	LC2	Project presentations; Course wrap-up and evaluation
14-PS	Wed 15/4	9-12	EL		exam2007:1,3; exam2011: 1,2,3 (exam2012; exam2013; exam2014)

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

Other information

• Practical info (course aim and organization etc.)
• Preliminary student list
• Exercises and Datasets page
• Minitab/Stata files from lectures and labs
• Course syllabus and Notes about exam
• 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.
• Misuse of multiple comparison tests and underuse of contrast procedures in aquaculture publications, Aquaculture 437 (2015), 344-350. (UPEI access)
• Link to lecture: Applied statistics at AVC: How to deal with repeated measures data
• Course announcement (e-mail 3/12-2014)
• 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
• Link to course homepage for Winter Semester 2014

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