Responsible Department | Department of Large Animal Sciences | ||||||||||||||
Earliest Possible Year | Post experience Master´s Programme | ||||||||||||||
Duration | Outside schedule | ||||||||||||||
Credits | 6 (ECTS) | ||||||||||||||
Level of Course | Post experience masters programme Module 2 in the Master of Veterinary Public Health program | ||||||||||||||
Examination | Final Examination oral examination All aids allowed Description of Examination: The 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 | ||||||||||||||
Organisation of Teaching | The course is taught during weeks 40-44, 2010. Intensive teaching is given during one week with lectures and exercises. During the next four weeks the participants must write a report with analyses of own data as a basis for oral examination. | ||||||||||||||
Block Placement | Outside schedule Week Structure: Outside schedule, The course lasts 5 full days, plus a project period and exam | ||||||||||||||
Language of Instruction | English | ||||||||||||||
Course Content | |||||||||||||||
This is an advanced course in epidemiology focusing on statistical methods used in epidemiology to analyze continuous, dichotomous and count data. The course is not a statistics course. Rather, the aim of the course is to enable the participant to establish the association between hypotheses, data and suitable analyses - and to carry out, present and interpret the results of such analyses on the participants own data in the form of an outline of a manuscript for an international journal. 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 first 5 days of the course is a mixture of lectures, plenum discussions and exercises. During the following 4 weeks, participants are working with their individual projects under supervision. The project is handed in on Wednesday in the final week and examination is on Friday, i.e. the last day of the course. Each participant is expected to bring a data set to be used for the project report. The participant must bring a laptop with SAS installed. The participants should have skills in Epidemiology and SAS equivalent to Veterinary epidemiology, part 1 (course no 150221). | |||||||||||||||
Learning Outcome | |||||||||||||||
The aim of the course is that the participant can establish the association between hypotheses, data and suitable analyses - and carry out, present and interpret the results of such analyses on the participants own data in the form of an outline of a manuscript for an international journal. At the end of the course it is expected that the participant has the following qualifications: Knowledge: Identify an epidemiological problem to be investigated using relevant analytical methods. Specifically, the participant should be able to indentify and address potential problems in the data, such as bias and/or confounding and unwanted clustering. Skills: Use relevant epidemiological and statistical methods for descriptive and analytical epidemiological studies. 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 Literature | |||||||||||||||
Houe H, Ersbøll AK, Toft N: Introduction to Veterinary Epidemiology. Biofolia. 2004. Dohoo I, Martin W, Stryhn H: Veterinary Epidemiologic Research. 2nd ed. Ver Inc. 2009. | |||||||||||||||
Course Coordinator | |||||||||||||||
Nils Toft, nt@life.ku.dk, Department of Small Animal Clinical Sciences/Hospital for Mindre Husdyr, Phone: 353-33009 Jens Frederik Gramstrup Agger, jfa@life.ku.dk, Department of Large Animal Sciences/Populationsbiology, Phone: 353-33013 | |||||||||||||||
Study Board | |||||||||||||||
Study Committee MSN | |||||||||||||||
Work Load | |||||||||||||||
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