Course - Statistical Modelling for Biologists/Biotechnologists - ST2304
Statistical Modelling for Biologists/Biotechnologists
About
About the course
Course content
Practical use of the software package R. Multiple regression. Analysis of variance. Analysis
of categorical data. Generalised linear models. Basic principles for statistical inference. Simulation from a model. Properties of estimators. Statistical power. Numerical maximisation
of the likelihood function. Some asymptotic results. Model selection. Non-parametric tests.
Learning outcome
1. Knowledge. The student has an overview over the underlying assumptions and practical applications of multiple regression, analysis of variance, analysis of categorical data and
generalised linear models using the software package R. In addition, the student knows how
simulation methods can be used in finding properties of estimators, in hypothesis testing and
in computation of power. The student also has basic knowledge about numerical methods
for fitting non-standard models using maximum likelihood and how results from asymptotic
theory can be used in estimating uncertainty in parameter estimates and in hypothesis testing.
2. Skills. The student can handle and analyse collected datasets using the software package R. The student is also capable of formulating simple, non-standard statistical models,
implementing the model in computer code and fitting such models using standard numerical
optimisation algorithms. In both situations, the student is able to assess the properties of a
given method using simulations or using methods based on asymptotic theory.
Learning methods and activities
Lectures and compulsory computer exercises. Written final examination is the basis for the
grade awarded in the course. Retake of examination may be given as an oral examination.
The lectures may be given in English. If the course is taught in English, the exam may be given only in English. Students are free to choose Norwegian or English for written assessments.
The re-sit examination may be given as an oral examination.
Compulsory assignments
- Exercises
Further on evaluation
In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken. For more information about grading and evaluation, see «Teaching methods and activities».
Recommended previous knowledge
ST0103 Statistics with applications, MA0001 Mathematical Methods A and MA0002 Mathematical methods B or equivalent.
Course materials
Will be announced at the start of the course.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| ST0201 | 7.5 sp | |
| TMA4255 | 7.5 sp |
Other pages about the course
Subject areas
- Statistics
Contact information
Course coordinator
Lecturers
Department with academic responsibility
Examination
Examination
Ordinary examination - Spring 2021
Home exam (1)
Submission 2021-05-25 Time Release 09:00
Submission 13:00 Duration 4 hours Exam system Inspera Assessment
- Other comments
- 1) Merk at eksamensform er endret til hjemmeeksamen som et smittevernstiltak i den pågående koronasituasjonen. Please note that the exam form has changed to home examination as a preventive measure in the ongoing corona situation.