MAOK4006 Biostatistics II

    • Studiepoeng
      2,5
    • Undervisningssemestre
      2025 Høst
    • Undervisningsspråk
      Engelsk
    • Undervisningssted
      Evenstad
    • Forkunnskapskrav

      Biostatistics.

Emnets innhold
  • Maximum Likelihood Estimation, information theory
  • Extending the Generalized Linear Models (Overdispersion, Zero-Inflation, Generalized Additive Models)
  • Generalized Linear (Mixed) Models, hierarchical models for longitudinal, clustered, or nested data
  • Hierarchical (ie “mixed”) models
  • General concepts of Bayesian inference
  • Advantages and challenges of the Bayesian approach over the conventional Frequentist approach to data analysis
  • Building complex hierarchical models by blocks
  • Fitting, understanding, and interpreting regression models in the Bayesian framework

Læringsutbytte

After successful completion of the course, the student will have the following knowledge, skills, and general competence. 

Kunnskap

The student

  • Has a thorough understanding of (some of) the statistical modelling approaches most prominently used in Ecology research.
  • Has a thorough knowledge of the advantages and drawbacks of the Bayesian and Frequentist approaches to data analysis.
Ferdigheter

The student

  • Can plan and carry out advanced data analyses within the field of applied ecology.
  • Can evaluate the advantages and drawbacks of different statistical methods for a given study.
  • Can interpret advanced statistical methods stemming from hierarchical models.
Generell kompetanse

The student

  • Can carry out research with scholarly integrity.
  • Can make an informed decision regarding which statistical approach is the most suitable to address a given scientific problem.
  • Can participate in professional discussions relying on (bio)statistics literacy.
Arbeids- og undervisningsformer

One-week intensive course together with a PhD-level course. Lectures and computer lab.

Arbeidskrav

Minimum 80% attendance.

Vurdering

One individual written report about an assigned or chosen problem in applied ecology, graded pass/fail.

Vurderinger
VurderingsordningKarakterskalaGruppe/individuellVarighetHjelpemidlerAndelKommentar
Oppgave
Bestått - Ikke bestått
100

Pensum

Fakultet
Fakultet for anvendt økologi, landbruksfag og bioteknologi
Institutt
Institutt for skog- og utmarksfag