SHSM13004U Statistics for Veterinarians
Aim
The student is introduced to a number of statistical techniques
applied to biological examples.
Content
Topics covered are: Descriptive statistics, data types, comparison
of two samples by parametric and nonparametric methods, t-tests,
paired observations, basic analysis of frequency data, logistic
regression, linear and multiple regression, analysis of variance,
factorial experiments, analysis of covariance, repeated
measurement, basic design of experiments. The statistical software
system R is used extensively for analysis of examples, and
participants should have access to R. Each participant should bring
his/her own lap-top with a data set to be analysed; suitable data
sets should be of moderate size and moderately complicated from a
statistical point of view. The data set and its analysis is the
subject of a project report written by each participant which is
also presented at a seminar.
At the end of the course it is expected that the participant has
the following qualifications:
Knowledge:
Identify a statistical problem to be solved using relevant
descriptive and analytical methods.
Skills:
Collect data and evaluate the data quality and store data in a
database.
Select relevant statistical methods and analyse the data.
Competences:
Collaborate scientifically wsith statisticians and other relevant
scientists. Be able to evaluate the validity and reliability of the
statistical results in relation to generalising to other
populations than just the study population.
Altman DG: Practical Statistics for Medical Research. Chapman & Hall, London. 1991.
Friday 27 March; Thursdays 9, 23, 30 April 2015, all days 8-15.
Exam 3-4 June 2015
- Category
- Hours
- Lectures
- 40
- Preparation
- 60
- Project work
- 0
- Theory exercises
- 40
- Total
- 140
Use separate application form.
- Credit
- 9 ECTS
- Type of assessment
- Practical oral examinationOral exam based on presentation of submitted course report
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Criteria for exam assesment
Knowledge:
Identify a statistical problem to be solved using relevant
descriptive and analytical methods.
Skills:
Collect data and evaluate the data quality and store data in a
database.
Select relevant statistical methods and analyse the data.
Competences:
Collaborate scientifically wsith statisticians and other relevant
scientists. Be able to evaluate the validity and reliability of the
statistical results in relation to generalising to other
populations than just the study
population.
Course information
- Language
- English
- Course code
- SHSM13004U
- Credit
- 9 ECTS
- Level
- Part Time Master
- Duration
- 7 weeks.
- Placement
- Spring
Thursdays 19, 26 and
Friday 27 March; Thursdays 9, 23, 30 April 2015, all days 8-15.
Exam 3-4 June 2015 - Schedule
- Outside standard time structure of classes.
- Course capacity
- 35
- Continuing and further education
- Price
EU citizens: 4200 DKK (560 Euros); Non-EU citizens: 11100 DKK (1480 Euros)
- Study board
- Study Board of Veterinary Sciences
Contracting departments
- Department of Large Animal Sciences
- Department of Public Health
Course responsibles
- Torben Martinussen (3-847d715083857e743e7b853e747b)
- Jens Frederik Gramstrup Agger (3-7a76715083857e743e7b853e747b)
Coordinator responsible for MVPH and single course participants
Lecturers
Torben Martinussen