Molecules, Mice and Math: a Statistical Toolbox for the Lab
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Owner/Developer: Radboud Summer School
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. There will be also ample opportunity to bring your own data and get advice of experienced statisticians.
Optional / Voluntary
Basic knowledge of statistics, bachelor T-test, ANOVA, Regression analysis. Basic level of SPSS.
University (Master), University (Doctoral education), Postdoctoral (teaching and research), Continuing Professional Development
Designing procedures and projects
Partial coverage (e.g. a module)
|Details on the topic or technology covered:||
The course will be highly interactive as it will contain a combination of interactive lectures, work groups, discussions and computer practice. During computer practice, real data from animal studies, qPCR experiments, 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 for the analysis. We will also briefly discuss the information you should provide in the method section of a scientific paper.
After this course you are able to:
Design laboratory and small animal studies, including sample size calculations.
Identify the type of data that you get out of your experiments.
Select the best way of analysing and interpreting your in vitro and in vivo data.
Write a proper method section for manuscripts.
|Accreditation body and/or authority that approved the education or training:||
the university itself
2 ECTS credits
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