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| Responsible Department | LIFE Graduate School
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Dept. Mathematical Sciences
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| Course Dates | 6 Wednesdays in spring 2013: March 13, 20, April 3, 10, 17, 24. |
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| Course Abstract | This course enables the student to identify basic statistical problems in the biosciences and to carry out the appropriate statistical analysis. The student gets hands-on experience in using a statistical software package, which is mandatory when doing practical statistical analyses. |
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| Course Home Page | http://www.math.ku.dk/~pdq668/SmB/SmB_I.html |
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| Course Registration | Please register at bomar@life.ku.dk. |
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| Deadline for Registration | March 1, 2013. |
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| Credits | 5 (ECTS) |
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| Level of Course | PhD course |
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| Organisation of Teaching | UCPH SCIENCE |
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| Language of Instruction | English |
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| Restrictions | 60 |
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| Course Content |
| The course covers basic techniques in model based frequentist statistics exemplified by real applications from the biosciences. Topics covered are: Descriptive statistics, data types, comparison of two samples by parametric and non-parametric methods, analysis of tables of counts, regression analysis of categorical data, linear and multilinear regression, analysis of variance, basic design of experiments, and usage of random effects. The student is also introduced to practical techniques for analyzing data in the open source software package R using the RStudio interface. Recommended prerequisites for the course is some basic statistics course during the participants bachelor or master studies. |
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| Teaching and learning Methods |
| Lectures and exercises including use of computers. In the first half of the day focus will be on lectures, and in the second half on individual coursework with exercises. But we will switch between these two modes of teaching during the entire day. Participants must bring their own laptops with R and RStudio installed. |
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| Learning Outcome |
| The students are introduced to statistical models commonly used in the biosciences for univariate end-points. The statistical methodology is discussed with emphasis on how models are applied, and the students are trained to do the statistical analyses using the software package R. |
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| Course Literature |
| 'A First Guide to Statistical Computations in R', by Torben Martinussen, Ib Michael Skovgaard, and Helle Sørensen, Biofolia 2012. |
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| Course Material |
| R and RStudio is free and open source, and may be downloaded from the internet. |
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| Course Coordinator |
| Bo Markussen, bomar@life.ku.dk, Department of Basic Sciences and Environment, Phone: 353-20778 |
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| Course Fee |
| Free for PhD students from UCPH SCIENCE. Please contact the course responsible at bomar@life.ku.dk if you are not from UCPH SCIENCE. |
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| Course Costs |
| None |
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| Type of Evaluation |
| The course is graded as passed/failed. To pass the student must either participate in 5 of the 6 course days, or take a small oral examination. |
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| Work Load |
| preparation | 80 | | lectures | 20 | | theoretical exercises | 25 |
| | 125 |
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