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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.: 5471-18-06-31 
Enrollment deadline: 08/08/2018
PlaceDepartment of Plant and Environmental Sciences
Date and time03.09.2018, at: 09:00 - 07.09.2018, at: 17:00
Regular seats32
Activity Prices:
  - Deltager/participant enrolled at Danish Universities0.00 kr.
  - Deltager/Participant Others10,000.00 kr.
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
Semester/BlockBlock 1
Block noteSep 3 - Sep 7, 2018 (5 days)
Exam requirementsActive participation and at least 80% attendance in the course.
Exam formActive participation during the campus course
Grading scalePassed / Not passed
Course workload
Course workload categoryHours
Course Preparation15.00
Lectures40.00
Sum55.00
Content
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

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
• Methods for handing of missing values
• Meta analysis and meta regression
• Visualization for data exploration and publications

Learning outcome
Skills
• To know about statistical methods commonly used in biological sciences
• 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

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

Literature
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:
https://www.openintro.org/stat/textbook.php?stat_book=os

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.

Workload
Course preparation - 15 hours
Lectures hours - 40 hours

Remarks
To enroll this course, please click “apply”

Time
Sep 3 - Sep 7, 2018 (5 days)

Location
PLEN, UCPH, Frederiksberg Campus

Credit
2 ECTS

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

http://cran.r-project.org/
http://www.rstudio.com/products/rstudio/download/

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 10,000.

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