| Department of Large Animal Sciences | |||||||||||||||
| Earliest Possible Year | Post experience Master´s Programme | ||||||||||||||
| Duration | Outside schedule | ||||||||||||||
| Credits | 6 (ECTS) | ||||||||||||||
| Course Level | Post experience masters programme Module 2B, Master Programme in Veterinary Public Health | ||||||||||||||
| Examination | Final Examination written examination and oral examination All aids allowed Description of Examination: Each participant must submit an indivudual project report. The report is defended at an oral exam with 15 minutes for presentation, and 15 minutes for questions from the examiners. pass/fail, internal examiner | ||||||||||||||
| Requirement For Attending Exam | Participation in the course and submission of an individual project report. | ||||||||||||||
| Organisation of Teaching | |||||||||||||||
| Block Placement | Outside schedule Week Structure: Outside schedule, The course lasts 5 full days, plus a project period and exam | ||||||||||||||
| Teaching Language | English | ||||||||||||||
| Optional Prerequisites | A degree in veterinary or biological sciences. | ||||||||||||||
| Course Contents | |||||||||||||||
| The course focus on epidemiological analysis of continuous and dichotomous data. Descriptors are hypothesis testing, causality and bias, correlation and linear regression, analysis of variance, assumptions, Chi-square test, logistic regression and logistic analysis, multivariable logistic analysis, interaction, confounding and non-parametric analyses. | |||||||||||||||
| Teaching And Learning Methods | |||||||||||||||
| The lectures are given during 1 week with lectures, plenum discussions and exercises in 5 days. During the following 4 weeks of the course, participants are working with the project. Supervision is given during this period. Examination at the last day of the course. The aim of the course is that the participants should be able to analyse continuous data and dichotomous data. Further, to be able to establish causality and evaluate bias problems. | |||||||||||||||
| Learning Outcome | |||||||||||||||
| At the end of the course it is expected that the participant has the following qualifications: Knowledge: Identify an epidemiological probelm to be investigated using relevant analytical methods. Skills: Choose and use relevant epidemiological and statistical analytical methods to analyse data for hypothesis testing. Competences: Collaborate scientifically with epidemiologists and statisticians and other relevant scientists. Be able to evaluate the validity and reliability of the epidemiological results in relation to generalising to other populations than just the study population. | |||||||||||||||
| Course Litterature | |||||||||||||||
| Houe H, Ersbøll AK, Toft N: Veterinary Epidemiology. Biofolia. 2004. Woodward: Epidemiology, study design and data analysis. Chapman & Hall. 2005. | |||||||||||||||
| Course Coordinator | |||||||||||||||
| Jens Frederik Gramstrup Agger, jfa@life.ku.dk, Department of Large Animal Sciences/Populationsbiology, Phone: 35333013 | |||||||||||||||
| Study Board | |||||||||||||||
| Study Committee MSN | |||||||||||||||
| Course Scope | |||||||||||||||
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