| Responsible Department | Department of Basic Science and Environment | ||||||||||||
| Course Dates | 8 days with lectures Wednesday March 21 - Wednesday May 16. Project presentations June 6 - 7, 2012 | ||||||||||||
| Course Abstract | The student is introduced to a number of statistical techniques applied to biological examples. The statistical package SAS is used for analysis of examples, and participants should have access to SAS for their homework. Each participant brings 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 the project report written by each participant. | ||||||||||||
| Course Home Page | http://www.matfys.kvl.dk/stat/phdcourses/statvet/ | ||||||||||||
| Course Registration | By email to Bo Markussen (bomar@life.ku.dk) | ||||||||||||
| Deadline for Registration | March 7, 2012 | ||||||||||||
| Credits | 9 (ECTS) | ||||||||||||
| Level of Course | PhD course | ||||||||||||
| Language of Instruction | English | ||||||||||||
| Restrictions | 25 | ||||||||||||
| Course Content | |||||||||||||
| Basic concepts in frequentist statistics, statistical modelling. Tables of counts, logistic regression. Analysis of variance, linear models, regression. Random effects and repeated measurements. Basic elements of experimental design. SAS and possibly SAS JMP. | |||||||||||||
| Teaching and learning Methods | |||||||||||||
| Lectures, seminars, theoretical and practical exercises including use of own laptops. Besides this, reading of course material during the course period is to be expected. | |||||||||||||
| Learning Outcome | |||||||||||||
| Knowledge: - recognize certain data types, identify and specify appropriate statistical models, and argue for the appropriateness - explain the prerequisities, prospects and limitations of the methods Skills: - formulate relevant problems and choose an appropriate statistical model addressing these problems - carry out the actual analysis (computations). This includes model fitting, model validation and hypothesis testing. - extract relevant estimates, draw conclusions and communicate the results from the analysis - use a statistical software system SAS to carry out the analyses Competences: - independently formulate biological questions - motivated by data of similar types as those presented in the course - and answer them by the use of statistical methods. | |||||||||||||
| Course Literature | |||||||||||||
| Recommended, but not used literature: Douglas G. Altman: 'Practical Statistics for Medical Research', Chapman & Hall. Der & Everitt: 'A Handbook of Statistical Analyses Using SAS', CRC Press. | |||||||||||||
| Course Material | |||||||||||||
| Lecture Notes in Applied Statistics (downloadable from the course home page). | |||||||||||||
| Course Coordinator | |||||||||||||
| Bo Markussen, bomar@life.ku.dk, Department of Basic Sciences and Environment, Phone: 353-32339 | |||||||||||||
| Course Fee | |||||||||||||
| Free of Charge for Ph.D. students under the Open Market for Postgraduate Courses in Denmark and from NOVA-Partners. Others: 9000 Dkr. | |||||||||||||
| Type of Evaluation | |||||||||||||
| A written project report and oral presentation for all course participants of the project. | |||||||||||||
| Work Load | |||||||||||||
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