Biostats Course VHM 802 (VHM-8020-1) at AVC - Winter Semester 2019

Welcome to the homepage of VHM 802: Advanced Veterinary Biostatistics, last updated 20/4 2019.

In 2019, 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 4/3,
  4. Analysis of variance II: GO Problem 13.8, due 18/3,
  5. Random effects models: Additional exercise 10.5, due 29/3,
  6. Repeated measures models: Additional exercise 10.8, due 8/4.
• project (30%): outline due: March 15; seminars on April 11; report due: April 12.
• final exam (30%, open-book): April 18, 9am-12pm, AVC 278N. Solution

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

Session	Date	Hours	Room	Topics	Course book
1a-LJ	Fri 4/1	9-12	LC	Introduction; Simple linear regression and extensions	VER:14.1-3 (14.8-10)
1b-LJ	Tue 8/1	13-16	LC	Multiple linear regression	VER:14.1-3,5 (14.8-10)
2a-LJ	Fri 11/1	9-12	LC	Model building for linear regression	VER:14.4,6,7; VER14:1
2-PJ	Mon 14/1	13-16	CL1	Regression analysis using Minitab/Stata	VER14:2,3; add2:2,4,7,11 (add2:1,3,5,6)
2b-LJ	Tue 15/1	13-16	LC	Linear regression diagnostics	VER:14.8-10
3a-LJ	Fri 18/1	9-12	LC	Introduction to logistic regression; Prediction for presentation	VER:16.1-5,8
3-RJ	Mon 21/1	13-16	CL1	Regression analysis using Minitab/Stata	VER14:2,3; add2:2,4,7,11 (add2:1,3,5,6)
3b-LJ	Tue 22/1	13-16	LC	Model building	VER:14.11; VER:15; VER:30
4a-LJ	Fri 25/1	9-12	LC1	Inference for logistic regression	VER:16.1-8; VER15
4-PJ	Mon 28/1	13-16	CL1	Logistic regression using Minitab/Stata	VER15; add2:7; VER16:1 (add4:1,3; add2:10)
4b-LJ	Tue 29/1	13-16	LC	Model building for logistic regression	VER:16.8-10
5a-LJ	Fri 1/2	9-12	LC	Diagnostics for logistic regression	VER:16.12; VER16:1,2
4-RJ	Mon 4/2	13-16	CL1	Logistic regression analysis using Minitab/Stata	VER16:1,2,3 (add4:1,3)
5b-LJ	Tue 5/2	13-16	LC	Exact and conditional logistic regression	VER:16.13-15
5-RJ	Mon 11/2	13-16	CL1	Linear and logistic regression analysis using Minitab/Stata	VER16:3 (VER15; add2:7; add4:1,3)
6-LS	Thu 14/2	9-11	LC	ANOVA, contrasts, multiple comparisons	GO:3-5 (GO:1,2,6)
6-PS	Fri 15/2	13-16	CL		GO:3.2,3.5,4.2,4.3,5.1; add6:1
7-LS	Thu 21/2	9-11	LC	Multifactorial designs	GO:8-9 + 10.1-2
7-PS	Mon 25/2	13-16	CL		GO:8.1; add2:12; add7:4; GO:8.3 (add7:1; exam2007:2; GO:8.7)
8-LS	Thu 28/2	9-11	LC	Experimental design; Block designs: Latin square, BIBD	GO:1,13,14 (DV:2; UPEI link only)
8-PS	Mon 4/3	13-16	CL		add7:2; add7:3,6; GO: Ex 13.5,14.4 (GO: Pb 13.4; add7:5)
9-LS	Thu 7/3	9-11	LC	Cross-over designs; Random effects models	GO:11 + 16.7 + notes
9-PS	Mon 11/3	13-16	CL		add9:1; add9:2; add10:1,2,3
10b-LJ: 1 2	Tue 12/3	13-16	LC	Introduction to clustered data; Clustered linear models	VER:20+21.1-2,5
11a-LJ: 1 2	Fri 15/3	9-12	LC	Clustered generalised linear models	VER:22.1-4+23.5
11-PJ	Mon 18/3	13-16	CL	Clustered data analysis using Minitab/Stata	VER20; VER22 (add10:2,3,6)
10-LS	Thu 21/3	9-11	LC	Random effects models; Split-plot designs	GO:12 + 16.1-5 + notes
10-PS	Mon 25/3	13-16	CL		add10:4; GO: Pb 16.2, 16.3, 16.4
12-LS	Thu 28/3	9-11	LC	Repeated measures models	GO:16.6 + notes
12-PS	Mon 1/4	13-16	CL		add10:7; add10:10,11; exam2012:1 (exam2013:2; exam2014:2)
13-LS	Thu 4/4	9-11	LC	Sample size and power	GO:7 + 10.3 + notes
13-PS	Mon 8/4	13-16	CL		GO: Ex 7.5; add ch13:1-4; exam2012:2; exam2013:1 (add ch13:5)
14-LS	Thu 11/4	9-11	LC	Project presentations; Course evaluation
14-PS	Mon 15/4	13-16	CL		exam2011: 1,2,3; exam2014:1,3; exam2012:3; (exam2015; exam2016)

LC = AVC Learning Commons 278N; LC1 = AVC Learning Commons 286CN; CL = Computer Lab (room 218S); ; CL1 = 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
• Assorted media links
• 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).
• Supplementary course material:
  Chapters 14 and 16 of: Dohoo IR, Martin SW, Stryhn H, Veterinary Epidemiologic Research, 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.
• Course announcement (e-mail 4/12-2018)
• 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
• Link to course homepage for Winter Semester 2016
• Link to VHM 802/812 course homepage for Winter Semester 2018

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