What do we do
trust the experts
We are the group of qualified experts in with PhD degrees. Our team is well trained in leading statistical centers all over the world. We have 12 years of experience in conducting statistical analyses in different areas. We are always welcome to new ideas. If there is no model suitable for your data, we will develop it! We try to show our students that statistics is not difficult or boring but a real FUN.
We have high academic degrees
We do for over 12 years
We are always open to new ideas
Our courses are not boring!
Polish Academy of Sciences
WARSAW CENTER OF ONCOLOGY
Post-hoc pairwise comparisons are very common part of the data scientist daily routine. Whenever we do ANOVA or non-parametric testing with more than two groups that is inevitable. At some point you might want to have a nice visualizations of what is significant and what is not. Possibly with p-values written on the plot. Then Read more about Pairwise comparisons[…]
Sankey plots are often used to illustrate flows, for example treatment changes in medicine. The plot above illustrates the treatment changes in asthma patients. Some small flows are omitted. Thanks to network3D package doing sankey plots has become fun! By implementing java scripts they can be interactive. There are however some traps when using this Read more about Sankey plots[…]
When you do meta-analysis you usually visualize your results using a so-called forest plot. The plot is automatically available in the packages denoted for meta-analysis (such as meta), but there are times you would like to plot it “from the scratch” and completely customize it. After struggling a bit with ggplot2 you discover forestplot package Read more about Forestplot R package – what you CAN’T do with it.[…]
Where the interpretation of the interaction comes from? Let us assume that we have patients in out sample and a linear model (simple or mixed). For the linear model we have an equation of the form: Y=A0+A1*X1+A2*X2+A3*X1*X2, where A0 is the intercept and A1 and A2 are the main effects of X1 and X2 respectively. Read more about Interactions and why we all get them wrong?[…]
Let’s say we need to calculate a sample size for a single proportion estimation (testing). Omitting now maths and some variability in the used formulas we can do it two in two ways: First: using power of a single test and then we just require the test is rejecting or not the hypothesis of a Read more about Few thoughts about sample size calculation for a single proportion[…]
Try our script for free now! We created a simple interface to show you how it works for the limited nr of 4 LPs. Remember: Full version allows you to compare unlimited nr of LPs! Algorithm chooses the best of LPs dividing the problem into choosing the best out of 2 or 3 LPs using Read more about Test our Bayesian AB script for free![…]
Have you heard about A/B testing? If you are in a field of SEO optimisation, you probably have. Here is a Bayesian alternative for common frequentists methods. Even if you encountered Bayesian scripts for A/B testing they were probably limited to two or maximium four pages to compare at a time. Here you will find Read more about A script for Bayesian A/B testing available![…]
Do you know that dummy is a statistical term describing 0-1 variable? We know that you are not 0-1 thinking person, so you will like “R for Dummies”. Here you can find a book And guess what…We also made a course based on the book. It’s called R NOT for Dummies. More about this course Read more about R (not!) for Dummies[…]
This is the course dedicated to medical doctors, physicians and all those who work in health-life sciences. The plan of the course is available at our page here.