Biostatistics

Teaching semester

Autumn.

This course has a limited capacity, enrolment is based on application. Application deadline is Thursday in week 33 for the autumn semester. Please see this page for more information: https://www.uib.no/en/matnat/53431/admission-courses-limited-capacity

You will receive confirmation of whether you received a spot in Studentweb no later than Tuesday the week after the deadline.

This is a course with limited capacity and will only be offered to Master's programme students at the Department of Biological Sciences.

The time of the first lecture/orientation meeting can be found in the schedule on the course website or on the Mitt UiB learning platform.

Objectives and Content

Emnet gir en praktisk innføring i statistisk modellering og grafisk framstilling av data gjennom bruk av det statistiske programmeringsmiljøet R. Hovedfokus er på univariate modeller, men det gis også en enkel oversikt over ordinasjon. Emnet gir kunnskap om når og hvordan man anvender ulike statistiske modeller avhengig av type design og type data.

Learning Outcomes

Etter kurset skal studentene:

• Ha praktiske ferdigheter i statistisk modellering, modellseleksjon og hypotesetesting.
• Vite når og hvordan man anvenderlineære modeller (lm), lineære blandet effekt modeller (lme), generaliserte lineære modeller (glm) og generaliserte lineære blandet effekt modeller (glmm), overlevelsesanalyse, samt ha en enkel oversikt over ordinasjonsmodeller.
• Skal kunne lage en grafisk framstilling av resultater hvor idealet er åbåde kunne se rådata og hvordan en valgtstatistisk modell passer til disse.
• Skal vite hvorfor p-verdier må vurderes i sammenheng medeffekt-størrelser.
• Skal kunne beherske programmeringsspråket R.

Required Previous Knowledge

Bachelor's degree in biology or equivalent. The course is limited to master programme students at the Department of Biological Sciences.

Recommended Previous Knowledge

Teaching and learning methods

• 20 hours of lectures (theory).
• 12 hours in computer lab (practical exercises).

Compulsory Assignments and Attendance

Lectures and computer lab.

Forms of Assessment

Written digital exam.

Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade, grade F is a fail.

Assessment Semester

Exam exam only in teaching semester (autumn).

Course Evaluation

Students will evaluate the course in accordance with the quality assurance system at UiB and the Department. You can find courseevaluations in the Quality Assurance Reports.