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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
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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.
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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
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Sidst redigeret: |
27/4-2012 |