Welcome to the homepage of VHM 802: Advanced Veterinary Biostatistics, last updated 24/4-2024.
In 2024, 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).
Schedule
(L/P/R=lecture/lab/review; J/S=joint with VHM 812/separate for VHM 802)
| Session | Date | Hours | Room | Topics | Course book |
|---|---|---|---|---|---|
| 0-LS | Wed 3/1 | video | Introduction to the course | ||
| 1a-LJ | Fri 5/1 | 9-12 | LC | Introduction; Simple linear regression and extensions | VER:14.1-3 (14.8-10) |
| 0-PJ | Mon 8/1 | 13-15 | CL | Introduction to use of Stata in VHM 802/812 | |
| 1b-LJ | Tue 9/1 | 13-16 | LC | Multiple linear regression | VER:14.1-3,5 (14.8-10) |
| 2a-LJ | Fri 12/1 | 9-12 | LC | Model building for linear regression | VER:14.4,6,7; VER14:1 |
| 2-PJ | Mon 15/1 | 13-16 | CL | Linear regression (lab) | VER14:2; add2:2,4,7 (VER14:1; add2:1,3) |
| 2b-LJ | Tue 16/1 | 13-16 | LC | Linear regression diagnostics | VER:14.8-10 |
| 3a-LJ | Fri 19/1 | 9-12 | LC | Model building II | VER:14.11; VER:15; VER:30 |
| 3b-LJ | Tue 23/1 | 13-16 | LC | Introduction to logistic regression; Prediction for presentation | VER:16.1-5,8; VER14:3 |
| 4a-LJ | Fri 26/1 | 9-12 | LC | Inference for logistic regression | VER:16.1-8; VER15 |
| 4-PJ | Mon 29/1 | 13-16 | CL | Logistic regression (lab) | VER15; VER16:1; add4:1,3; add2:8,11 (add2:12) |
| 4b-LJ | Tue 30/1 | 13-16 | LC | Model building for logistic regression | VER:16.8-10 |
| 5a-LJ | Fri 2/2 | 9-12 | LC | Diagnostics for logistic regression | VER:16.12; VER16:2 |
| 5b-LJ | Tue 6/2 | 13-16 | LC | Wrap-up regression; Supplementary topics | VER16:3 |
| 6-LS | Thu 8/2 | 9-11 | LC2 | Multifactorial design and analysis | GO:3-5,8-9,10.1-2 |
| 6-PS | Mon 12/2 | 13-16 | CL | GO:3.2,4.2,5.1,8.1; add7:4 (GO:8.7) | |
| 7-LS | Thu 15/2 | 9-11 | LC2 | Experimental design; Block designs and special designs | GO:1,13,14.1,16.7 |
| 7-PS | Mon 26/2 | 13-16 | CL | add7:2,6; add9:1; GO: Ex 14.4 (add7:5; add9:2; GO: Pb 13.4) | |
| 8-LS | Thu 29/2 | 9-11 | LC2 | Introduction to multivariate analysis; Matrix algebra and graphical tools | MA:1-3 |
| 8-PS | Mon 4/3 | 13-16 | CL | addMV:1,2,3 (exam2003:2; exam2004:3) | |
| 9-LS | Thu 7/3 | 9-11 | LC2 | Multivariate distance; Multidimensional scaling; Cluster analysis | MA:5,9,11 |
| 9-PS | Mon 11/3 | 13-16 | CL | addMV:4,5 (addMV:6; exam2014:3) | |
| 10-LS | Thu 14/3 | 9-11 | LC2 | Dimension-reduction techniques | MA:6-7 |
| 10-PS | Mon 18/3 | 13-16 | CL | addMV:8,9,10 (exam2015:3) | |
| 11-LS | Thu 21/3 | 9-11 | LC2 | MANOVA and variants; Ordination | MA:4,12 |
| 12a-LJ: 1 2 | Fri 22/3 | 9-12 | LC2 | Introduction to clustered data; Linear mixed models | VER:20+21.1-2,5 |
| 11-PS | Mon 25/3 | 13-16 | CL | addMV:12,13; VER20 (addMV:14) | |
| 12b-LJ: 1 2 | Tue 26/3 | 13-16 | LC2 | Clustered generalised linear models | VER:22.1-4+23.5; VER20 |
| 13-LS | Thu 28/3 | 9-11 | LC2 | Classification; Cluster detection | MA:8; VER:26.3-6 |
| 13-PS | Thu 28/3 | 13-16 | CL | addMV:15,16; VER22 (addMV:17) | |
| 14-LS | Thu 4/4 | 9-11 | LC2 | Project presentations | |
| 15-LS | Thu 11/4 | 9-11 | LC2 | Course wrap-up | exam2015:1; addMV:13 |
| 15-PS | Mon 15/4 | 13-16 | CL | exam2021 (exam2016:1,3; exam2019:2,3) | |