Biostatistics Course VHM 802 (VHM-8020-1) at AVC - Winter Semester 2025

Welcome to the homepage of VHM 802: Advanced Veterinary Biostatistics, last updated 25/4 2025.

In 2025, the course will only be run as a separate course, because VHM 812 (Epidemiology II) is not offered. All students who have not already taken VHM 812 in a previous year, will take VHM 802 for 3 credits. The course schedule is however conveniently structured in a similar way as when the course is shared with VHM 812.

Course work and exam


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

SessionDateHoursRoomTopicsCourse book
0-LSFri 3/1videoIntroduction to the course
1a-LJWed 8/113-16LCIntroduction; Simple linear regression and extensionsVER:14.1-3 (14.8-10)
1b-LJFri 10/19-12LCMultiple linear regressionVER:14.1-3,5 (14.8-10)
2a-LJWed 15/113-16LCModel building for linear regressionVER:14.4,6,7
2b-LJFri 17/19-12LCLinear regression diagnosticsVER:14.8-10
2-PJTue 21/113-15:30CLLinear regression (lab)VER14:2; add2:2,4,7 (VER14:1,3; add2:1,3)
3a-LJWed 22/113-16SIntroduction to logistic regression; Prediction for presentationVER:16.1-5,8
3b-LJFri 24/19-12LCModel building IIVER:14.11; VER:15; VER:30
4a-LJWed 29/113-16LCInference for logistic regressionVER:16.1-8
4b-LJFri 31/19-12LCModel building for logistic regressionVER:16.8-10
4-PJMon 3/213-16CLLogistic regression (lab)VER16:1; add4:1,3; add2:11,12 (VER15; VER16:2add2:8)
5a-LJWed 5/213-16LCDiagnostics for logistic regressionVER:16.12
5b-LJFri 7/29-12LCWrap-up regression; Supplementary topics
5-PJMon 10/213-14:30CLLogistic regression II (lab)VER16:3 (add4:1,3)
6-LSThu 13/29-11LC2ANOVA, contrasts, multiple comparisonsGO:3-5 (GO:1,2,6)
6-PSFri 14/213-16CLGO:3.2,3.5,4.2,4.3,5.1; add6:1
7-LSThu 20/29-11LCMultifactorial designsGO:8-9 + 10.1-2
7-PSMon 24/213-16CLGO:8.1,8.3 ; add7:4,7 (add7:1; GO:8.7)
8-LSThu 27/29-11LCExperimental design; Block designs: Latin square, BIBDGO:1,13,14 (DV:2)
8-PSMon 3/313-16CLadd7:3,6; GO: Ex 13.5, Ex 14.4 (add7:5; GO: Pb 13.8)
9-LSThu 6/39-11LCCross-over designs; Random effects modelsGO:11 + 16.7 + notes
9-PSMon 10/313-16CLadd7:2; add9:1; add10:1,2,3 (add9:2)
10a-LJWed 12/313-16LCIntroduction to clustered data; Clustered linear modelsVER:20+21.1-2,5
10b-LJFri 14/39-12LCLogistic mixed model and alternative methodsVER:22.1-4+23.5
10-PJMon 17/313-16CLClustered data analysis using Minitab/StataVER20; VER22 (add9:2; add10:2,3)
11-LSThu 20/39-11LCRandom effects models; Split-plot designsGO:12 + 16.1-5 + notes
11-PSMon 24/313-16CLadd10:4,5; GO: Pb 16.2, 16.4 (GO Pb 16.3; add10:6)
12-LSThu 27/39-11LCRepeated measures modelsGO:16.6 + notes
12-PSMon 31/313-16CLadd10:7,8,11 (exam2014:2; GO: Pb 16.2)
13-LSThu 3/49-11LCSample size and powerGO:7 + 10.3 + notes
13-PSMon 7/413-16CLGO: Ex 7.5; add ch13:1-4; exam2014:1,3 (add ch13:5)
14-LSThu 10/413-16CLProject presentations; Course wrap-upexam2015; GO Pb 16.2
LC = AVC Learning Commons 278N; LC2 = AVC Learning Commons 278N; CL = Computer Lab (room 218S)

Other information

Contact

Henrik Stryhn, Department of Health Management, Atlantic Veterinary College,
room 412S, phone: (902) 894-2847, fax: (902) 566-0823, e-mail: hstryhn@upei.ca.
Henrik Stryhn (hstryhn@upei.ca)