17 August 2018
Molecules, Mice and Math: a Statistical Toolbox for the Lab
Why do I always have to repeat my experiments three times? How should I analyse qPCR data? I always see the effect of the treatment on cells clearly, however due to large variation it is never significant. Which statistical test should I use in that case? How do I determine the amount of animals I should use for my experiment? It feels unethical not to use the data of my animal pilot experiment, is there a solution? These are just a few of the questions that basic scientists encounter daily in the laboratory. Common statistical courses do not address these questions. In this course we will! This course is specifically designed for basic scientists that work in a laboratory setting, for both in vitro and small scale in vivo experiments.
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.
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.
In short, 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?
If you have specific questions about your own data, this course will have time dedicated for questions to an experienced statistician.
A.F.J. de Haan
Assistant Professor Biostatistics
Radboud University Medical Center
Master, PhD, Postdoc. 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.
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.
EUR 885: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.
We offer several reduced fees:
€ 797 early bird discount- deadline 1 April 2017 (10%)
€ 752 partner + RU discount (15%)
€ 664 early bird + partner discount (25%)