Login for PhD students/staff at UCPH      Login for others
Applied biostatistics in biological sciences using R - with focus on applications in nutrition, physiology and plant and environmental sciences. Module 1
Provider: Faculty of Science

Activity no.: 5471-19-06-31There are no available seats 
Enrollment deadline: 20/07/2019
Date and time19.08.2019, at: 08:00 - 23.08.2019, at: 16:00
Regular seats28
ECTS credits2.00
Contact personSigne Marie Jensen    E-mail address: smj@plen.ku.dk
Enrolment Handling/Course OrganiserChristian Ritz    E-mail address: ritz@nexs.ku.dk
Written languageEnglish
Teaching languageEnglish
Block noteAug 19 – Aug 23, 2019 (5 days)
Exam formActive participation during the campus course
Exam detailsActive participation and at least 80% attendance in the course.
Grading scalePassed / Not passed
Course workload
Course workload categoryHours
Course Preparation15.00
Evaluation / Exam0.00



The course will introduce the PhD student to a broad range of statistical analyses that are used for analysis of various types of biological data and on how to perform the analysis in the statistical software R. The participants will be introduced to statistical methods for analysis of continuous and categorical data and also univariate and multivariate data.

The course is divided in 2 modules:
1 - Lectures and exercises
2 - Project on own data to be handed in 4 weeks after end of module 1

It is a prerequisite for module 2 that module 1 is followed the same year.

In module 1, basic concepts are briefly revisited, before more advanced topics are introduced. A key topic will be linear and generalized linear mixed models and various extensions.

There will also be lectures on a number of specialized topics such as:

• Analysis of block, cross-over, split-plot and other designs
• Techniques for dealing with zero-inflated data
• Modelling dose-response relationships

Learning outcome
• To understand key concepts and ideas underlying a wide range of statistical methods
• To interpret output and results from a wide range of statistical analyses

• To identify and apply appropriate R functionality for data analysis and visualization
• To define statistical challenges for given data sets and limitations in the introduced statistical methodology

Reading material and presentations will be supplied by the lecturers.

Before the course we recommend that you read chapters 3-7 in OpenIntro Statistics available here:

Teaching and learning methods
The course will be a mixture of lectures and exercises using R where participants get to try the methods introduced during lectures on case studies within either nutrition and physiology or plant and environmental sciences.

• Course leader: Christian Ritz, Associate Professor, NEXS, e-mail: ritz@nexs.ku.dk
• Course co-leader: Signe M. Jensen, Assistant Professor, PLEN, e-mail: smj@plen.ku.dk

Aug 19 - Aug 23, 2019 (5 days)

PLEN, UCPH, Frederiksberg Campus

Please download the latest versions of R and R-studio from the following links:


Exam form
Active participation and at least 80% attendance in the course.

Course fee
There is no course fee for PhD students from the Danish universities (except for CBS).
The course fee for all other researchers and scientists is DKK 10000.

To enroll this course, please click “apply”.

Application deadline: July 20, 2019.

Click the search button to search Courses.

Course calendar
See which courses you can attend and when

Publication of new courses
All planned PhD courses at the PhD School are visible in the course catalogue. Courses are published regularly.