IxStat

17/07/2025

And another one:)

Suppose you would like to have the sample enough to some percentiles not to overalp. Here is the code: quantile.CI

17/07/2025

New post finally:)

Radar charts are still not so common as their other sisters and brothers. They alllow to show the differences among the groups for many variables at once. They work well if you have some kind of maximum for these variables. Also, if you don't have so many groups to compare, ideally 2-3. And if you a...

17/07/2025

Deming regression. Still not very popular.

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 this regress...

17/07/2025

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: library(openxlsx) library(lme4) library(afex) p-values library(ggplot2) library(gtsummary) nice tables...

17/07/2025

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 availa...

17/07/2025

Reposting old posts due to some technical problems.

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-valu...

17/07/2025

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

08/07/2021

New post on a new domain:)

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

07/07/2021

Really helpful package if you want to customize your forestplots!

For marking the start/end points it is common to add a vertical line at the end of each whisker. In forestplot you simply specify the vertices argument:

07/07/2021

We moved to a different .com domain!
Now it is

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 r...