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Applied Biostatistics in Biological Sciences Using R - with Focus on Applications in Nutrition, Physiology and Plant and Environmental Sciences
Provider: Department of Nutrition, Exercise and Sports

Activity no.: 5471-17-06-31 
Enrollment deadline: 11/07/2017
PlaceNEXS or PLEN, UCPH, Frederiksberg Campus (room TBA)
Date and timeSeptember 2017
Regular seats33
ECTS credits5.00
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 11 - Sep 15, 2017 (5 days)
Exam detailsA written project report has to be submitted 4 weeks after the teaching week. Research questions should be defined during the week Sep 7- Sep 11 and should relate to the participants own research and/or area of work. Reports should be article-style but with enhanced statistics sections and reduced introduction and discussion (5-10 pages, 1½ line spacing, 12 pt., excl. figures). The reports will be examined by the course coordinators (passed/not passed).
Course workload
Course workload categoryHours
Course Preparation35.00
Lectures40.00
Evaluation / Exam50.00

Sum125.00


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.

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 cross-over, split-plot, strip-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
• Use of prediction models
• Visualization for data exploration and publications
• Some of these topics will be taught in two parallel sessions, reflecting research in NEXS and PLEN, respectively, and thereby allowing participants to choose lectures and case studies closest to their own field of research.

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.

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.

Remarks
To enroll on this course, please:

1) Click on "Apply" and
2) Send a motivated application mentioning when you started on your PhD project and whether or not you already have own data ready to be analyzed (max. 1 page) to Signe M. Jensen (smj@plen.ku.dk) before July 1 2017.

Dates, participants, venue, credits, report and exam:

• Credit: 5 ECTS
• Time: Sep 11 - Sep 15, 2017 (5 days)
• Location: NEXS or PLEN, UCPH, Frederiksberg Campus (room TBA).
• Course material: Reading material and presentations are supplied by lecturers. Updated course programme will be announced 2 weeks before the beginning of the course.

• Evaluation: Written project report submitted 4 weeks after the teaching week (passed/not passed). Reports should be article-style but with reduced introduction and discussion (5-10 pages, 1½ line spacing, 12 pt., excl. figures) and they will be examined by the course coordinators. Report topics should be defined during the week Sep 11 – Sep 15 and should relate to the participants own research and/or area of work.
• Maximum number of participants: 30
• Application deadline: July 1 2017. Motivated applications required (max 1 page).

Course fee:
• There is no course fee for PhD students whose institution is a member of the European open market for PhD courses (such as Danish universities except for CBS).
• The course fee for all other PhD students is DKK 4000.
• The course fee for all other researchers and scientists is DKK 10000.

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