If you would like to receive statistical advice from us for a project or statistical opinion in the context of animal experiments, please fill in the inquiry form as detailed as possible and send it to back to us.
We will process your request as soon as possible and then arrange a first consulting meeting. In general, we recommend contacting us at an early point of your project. As a result, problems can often be avoided and deadlines can be met.
A good preparation and description of your problem sets a good foundation on your joint work and ensures that we can work efficiently and purposefully on your problem. This includes the following points:
- Prepare a document to introduce your project and problem
- Have your data ready. Some useful recommendations for data preparation can be found in these Tidy Data Guidelines.
- What are obstacles for you regarding the analysis?
- Is there a need to use specific software? Otherwise we would use R
- Is there a need for using a specific statistical method?
- At which state is your project? Are there any deadlines?
We refer you to the appropriate literature and suitable statistical methods for your problem. You can then carry out the analysis on your own and we will be there to back you up if needed.
We read your work and check it with regard to the application and description of statistical methods.
Together with you, we create an analysis plan for your question. We then carry out the individual parts of the complete analysis for you. We use a variety of established statistical methods for this purpose.
If there is no established method for your problem yet, we will develop one that fits your data.
We create professional graphics, tables and other materials according to your wishes for your publication.
We write statistical opinions for animal experiments application.
We programme web-based applications with user-friendly interfaces. These contain your analysis and you can use this application for future applications.
We develop a suitable data analysis plan and describe it in statistically appropriate language for grant submission. After the grant has been awarded, we perform and present data analysis for publication or reports to the funder.
Graphical data analysis
- Power analysis
- Sample size estimation
- Survival function
- Kaplan-Meier estimation
- Cox regression
- Parametric survival analysis
- Competing risk
- Filtering of cells/samples and genes/proteins
- Variance stabilization and normalization of counts
- Determine informative genes/proteins
- Batch effect identification and correction
- Visualization, clustering and annotation
- Differential gene/protein expression analysis
- Volcano plot and heatmap for the visualization of the results
- Sampling methods
- Sample size determination
- Survey weight
- Moving averages
- Exponential smoothing
- Kalman filtering
- Mixed Models
- Markov chain Monte Carlo (MCMC)
- Hypothesis testing
- Time series analysis
- Machine learning
- GraphPad Prism