In this post we discuss how to calculate the statistical power of an expertiment using a Monte Carlo simulation in R.
We'll see how this can help refine our choice of experimental design.
Statistical modelling
This posts introduces the basic concepts about artificial neural networks (ANN).
Introduction In previous posts, I discussed how to deal with situations where you measure a continuous outcome and you want to explain its variability as a function of one or more continuous or discrete variables, using linear regression or mixed-effects models. However, there are situations where these linear models are not the best solution to […]
Pseudoreplication is a major issue in biomedical sciences. This post will show you how to avoid it and properly analyse your data in R!