|
| Udgave: |
Efterår 2012 NAT |
| ECTS points: |
7,5 |
| Point: |
7,5 |
| Blokstruktur: |
2. blok |
| Skemagruppe: |
A |
| Institutter: |
Department of Biology |
| Uddannelsesdel: |
Kandidat niveau |
| Kontaktpersoner: |
Anders Krogh, krogh@binf.ku.dk , tlf. +45 3532 1329. |
| Skema- oplysninger: |
 Vis skema for kurset
Samlet oversigt over tid og sted for alle kurser inden for Lektionsplan for Det Naturvidenskabelige Fakultet Efterår 2012 NAT |
| Undervisnings- form: |
Lectures and interactive exercises in R |
| Indhold: |
- Descriptive statistics
- Distributions
- Study design
- Hypothesis testing/ interval estimation
- Non-parametric methods
- Analysis of variance
- Linear regression
- Multiple testing
- The statistical program R
|
| Kompetence- beskrivelse: |
At the end of the course the students should be able to:
- Set up statistical models for data of biological and/or medical relevance - taking as a starting point models based on the normal distribution.
- Handle the symbolic language of statistics and the corresponding formalism for models based on the normal distribution and be able to carry out necessary calculations.
This includes:
- mastering the formulation of linear regression
- mastering analysis of variance
- Perform significance testing, p-value calculation and interpretation for simple experimental data, including compute-intensive techniques such as permutation testing.
- Discuss the problem and possible interpretations of multiple hypothesis tests for biological data and have knowledge of the common corrections.
- Report the results of model set up, data analysis, interpretation and assessment in a coherent and well documented report.
- Apply R for the practical statistical analysis of biological data such as gene expression data.
|
| Målbeskrivelse: |
- Set up statistical models for data of biological and/or medical relevance - taking as a starting point models based on the normal distribution.
- Handle the symbolic language of statistics and the corresponding formalism for models based on the normal distribution and be able to carry out necessary calculations.
This includes:
- mastering the formulation of linear regression
- mastering analysis of variance
- Perform significance testing, p-value calculation and interpretation for simple experimental data, including compute-intensive techniques such as permutation testing.
- Discuss the problem and possible interpretations of multiple hypothesis tests for biological data and have knowledge of the common corrections.
- Report the results of model set up, data analysis, interpretation and assessment in a coherent and well documented report.
- Apply R for the practical statistical analysis of biological data such as gene expression data.
|
| Lærebøger: |
Biostatistics, Second Edition: A Guide to Design, Analysis and Discovery by Ronald N. Forthofer, Eun Sul Lee, Mike Hernandez, Academic Press |
| Tilmelding: |
Registration via KUnet 15 May - 1 June. |
| Eksamensform: |
Continuous Assessment: Three take-home assignments during course. Internal censors. Grade given by 7-pointscale.
Re-exam will consist of an additional 3-day assignment. |
| Eksamen: |
Løbende evaluering.
Reeksamen: 3 dages opgave udleveres den 15. april og afleveres den 17. april 2012. |
| Kursus hjemmeside: |
 |
| Kursus hjemmeside: |
Course wiki |
| Bemærkninger: |
The course will involve interactive R sessions and so students will need to bring a laptop computer to lectures. |
| Pensum: |
Recommended Reading: Introductory Statistics with R by Peter Dalgaard (1st or 2nd ed) (an electronic version is available at the library web site). |
| Undervisnings- sprog: |
Kun engelsk
|
| Sidst redigeret: |
27/4-2012 |