Dear PhD Students,
I am pleased to welcome you to the course “Applied Statistics in Veterinary Science”, which focuses on the design of veterinary research trials and their statistical analysis through a practical, data-driven approach.
The course aims to provide you with the methodological and applied tools needed to plan experiments, perform statistical analyses, and interpret results in the context of veterinary science. Teaching will combine short theoretical lessons with team-based learning (TBL) and hands-on data analysis using R Commander.
Course Schedule
- Day 1 – Monday, November 17. Introduction, and theory: Putting the P-Value in its Place – Practical activity: R and R Commander, Installation, dataset import, basic data management
- Day 2 – Tuesday, November 18. Theory: Power analysis and survival analysis – Practical activity: RCommander for power analysis and survival analysis, Kaplan–Meier, hazard ratio, ROC analysis
- Day 3 – Wednesday, November 19. Theory: Odds ratio and relative risk – Practical activity: RCommander for power OR & RR calculation, ANOVA
- Dec 1 – TBL Session 1: Applied teamwork exercise (morning + afternoon)
- Dec 2 – TBL Session 2: Integrative analysis (morning + afternoon)
(TBLs = Jointly organized with Prof. Nurşen Öztürk, İstanbul Üniversitesi-Cerrahpaşa)
Learning Goals
- Manage and analyse veterinary datasets using R Commander.
- Collaboratively design and interpret an experimental veterinary study.
Assessment
- Evaluation will be based on:
Active participation in lessons and TBL sessions; - Team assignments and applied data analyses;
- Final discussion or presentation of an experimental design or statistical model (TBLs).
I will guide you through installing R and R Commander. Use your PC or work with a colleague.
I look forward to meeting you and working together on data-driven approaches to veterinary research.
Best regards,
Dr. Lorenzo Serva