About this course

This course teaches basic theory in central topis in biostatistics and introduce students to the use of Stata for statistical programming.

Learning outcome

After the course the student should…

Understand basic theory regarding:

  • Probability distributions and sampling distributions
  • Statistical estimation
  • Confidence intervals
  • Hypothesis testing

Be able to use statistical software to

  • Perform simple data wrangling and cleaning procedures
  • Produce descriptive statistics and plots
  • Conduct simple hypothesis tests
  • Estimate confidence intervals for means and proportions.
  • Write scripts for fully reproducible analysis

Be competent in:

  • Identifying various types of variables.
  • Determining relevant descriptive and analytical statistics for different variables.
  • Interpreting hypothesis tests and confidence intervals.

  • Learning activities

    Self-study of textbook material and e-lectures of theoretical concepts.

    Exercises in statistical programming.

    Group discussions and lectures.

  • Teaching support

    The course teaches the use of Stata. Students wishing to use another software/programming language are free to do so but cannot expect support from teachers.

  • Syllabus

    Will be announced at course start.

  • Assessment method

    The students must hand in a script running a reproducible analysis in Stata (or R/another programming language).

    Written task Grading: Passed / Not Passed

  • About use of AI

    K3 - Full use of AI permitted.

    Descriptions of AI-category codes.

  • Notes

    Deadline for registration: January 1st

    Contact for administrative purposes: phd.radgiver.vet@nmbu.no

  • Admission requirements

    Open to PhD candidates at NMBU and other unversities. Open to veterinary research track students at NMBU.