Statistical Analysis of laboratory and clinical studies
The course covers one week of studies (1.5 ECTS), including lectures, discussions, assignments and student presentations. The students are scheduled full days Monday‐Friday and attendance is
compulsory. An attendance record of at least 80% is required to pass this course. No video link is provided since discussions and other team efforts are important parts of the curriculum.
Syllabus and other information
Syllabus
PVS0158 Statistical Analysis of laboratory and clinical studies, 1.5 Credits
Subjects
Veterinary MedicineEducation cycle
Postgraduate levelGrading scale
Language
EnglishPrior knowledge
Admitted to a postgraduate program in animal science, biology, veterinary medicine, food science, nutrition, nursing, bioinformatics or similar subjects, or to a residency program in veterinary science. The basic models lectured in an introduction course in medical statistics are assumed knowledge.Objectives
The overall objective of the course is to train students to plan and perform suitable statistical analysis of own data, and to have a general understanding of the basic principles for statistical analysis of data from clinical studies and thereby be able to evaluate results presented also in other studies.
After completing the course the student should be able to:
Build a statistical model to answer the aim of the student’s study
Plan and perform statistical analysis of own data, e.g.:
Parametric and non‐parametric estimation
Non‐parametric and parametric ANOVA models, correlation and regression analysis
Sample size calculation
Use JMP software
Evaluate, criticize and present statistical results
Content
This is a practical course in statistical analysis of own data or databases available from previous performed studies. JMP/SAS will be the basic software for statistical analysis.
The course covers one week of studies (1.5 ECTS), including lectures, discussions, assignments and student presentations. The students are scheduled full days Monday‐Friday and attendance is
compulsory. An attendance record of at least 80% is required to pass this course. No video link is provided since discussions and other team efforts are important parts of the curriculum.
Additional information
The course will take place in SLU’s Centre for Veterinary Medicine andAnimal Science on campus Ultuna in Uppsala. The course is given in collaboration with the network CAReNet, www.slu.se/carenet.
For application: https://www.slu.se/gs-vmas-courses
Responsible department
Department of Clinical Sciences