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Short Course On Campus

Molecules, Mice and Math - A Statistical Toolbox for the Lab

Radboud University

5 days
Duration
885 EUR/full
885 EUR/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The course will teach the different aspects of experimental design and analysis by using very identifiable problems for basic scientists. You can immediately implement the knowledge you will gain during this course in your daily work. The Molecules, Mice and Math - A Statistical Toolbox for the Lab programme is offered at the Radboud University.

Overview

Key facts:

  • There will be also ample opportunity to bring your own data and get advice of experienced statisticians. The course will be highly interactive as it will contain a combination of interactive lectures, work groups, discussions and computer practice. 
  • The Molecules, Mice and Math - A Statistical Toolbox for the Lab programme is offered at the Radboud University.
  • During computer practice real data from animal studies, cell-line data, immunohistochemistry, flow cytometry, etc. will be used to get familiar with the methods, the interpretation, and the visualization of the outcome of the analysis. We will make use of SPSS or R for the analysis. We will also briefly discuss the information you should provide in the method section of a scientific paper.

Programme Structure

We will discuss a range of different topics related to in vivo and in vitro laboratory experiments:

  • How can I make a smart and efficient design for my experiment?
  • What types of data will I encounter and what is the appropriate statistical analysis?
  • Can I do a statistical analysis that increases the probability that I will have significant results?
  • How can I determine the sample size for my experiment?
  • What to do with outliers?
  • How to handle variation ?
  • How to visualise your data for publication?

Audience

This course is especially designed for biomedical scientists that do laboratory experiments and small scale animal studies. It will be extremely valuable for PhD students, but certainly also for master students that are planning to continue doing research in the laboratory.

Key information

Duration

  • Full-time
    • 5 days

Start dates & application deadlines

Credits

2 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • Basic knowledge of statistics, bachelor level. T-test, ANOVA, Regression analysis. Basic level of SPSS or R is recommended.
  • Admission Documents: CV

Tuition Fee

To alway see correct tuition fees
  • International

    885 EUR/full
    Tuition Fee
    Based on the tuition of 885 EUR for the full programme during 5 days.
  • EU/EEA

    885 EUR/full
    Tuition Fee
    Based on the tuition of 885 EUR for the full programme during 5 days.

Early bird fee: € 664 / € 797 deadline early bird: 1 March 2021

Living costs for Nijmegen

800 - 1000 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

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Molecules, Mice and Math - A Statistical Toolbox for the Lab
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Radboud University

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