What do we do
BIOSTATISTICS
If you are a medical doctor and need a statistical advise we can help you in analysis of your data. We conduct design and analysis of prospective clinical trials, as well as historical data from other medical studies.
DATA MINIG IN BUSINESS
For those who work in a business sector we also provide statistical consults. We can help you to model your financial data, construct a forecast, analyse series analysis of stocks etc.
COURSES
We also provide courses in statistics and programming (R, SAS, STATA and even simple EXCEL). No matter if you are a just a beginner of more advanced in statistical software we have an offer for you.
RESEARCH
We do some research in different areas such as genetics or bioinformatics, developing new statistical methods, analytical solutions and software. We also help in writing scientific papers.
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!
OUR CLIENTS
Warsaw University
Mediolan University
Polish Academy of Sciences
WARSAW CENTER OF ONCOLOGY
RECENT NEWS
Mixed ANOVA in R
Suppose we have a data of the form: And we would like to know if there was any group, time, or group*time interaction effect. First we read the data and tranform it the into a long format: At the same time, we add some ID variable for individuals. This could be plates/measures or whatever was Read more about Mixed ANOVA in R[…]
Deming regression
We all know the common OLS regression linear models. In this kind of models we assume that Y depends linearly on some let us assume continous predictor X plus and we account for the measurment error for Y as: Y_i=A+B*X_i, i is the index of the i-th observation on X and Y. Note that from Read more about Deming regression[…]
ROC curve-what you always wanted to know but were afraid to ask…
This post is inspired, as many of them, by the student’s question. It appears that many of us use ROC curves in the analysis not really knowing what these curves are for and how they are created. The classification models have become a very popular tool and are part of many implemented widely available black-box Read more about ROC curve-what you always wanted to know but were afraid to ask…[…]
Pairwise comparisons
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
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[…]
Forestplot R package – what you CAN’T do with it.
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.[…]
Interactions and why we all get them wrong?
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?[…]
Few thoughts about sample size calculation for a single proportion
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[…]
Test our Bayesian AB script for free!
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![…]
A script for Bayesian A/B testing available!
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![…]
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