July 2018
Statistical Inference & Reproducibility
Part III: Statistics vs Reproducibility
In the third and last part of this blog series, I address the relation between reproducibility and statistical inference. As the previous posts introduced statistical inference and explained Frequentist and Bayesian statistics, it is time to see how these insights contribute to reproducibility and transparency of research.
February 2018
Statistical Inference & Reproducibility
Part II: Frequentist vs Bayesian statistics
In the second part of this blog series, I continue with an explanation of the two types of statistical inferences: Frequentist and Bayesian inference. To get a better understanding of these two approaches, I will first discuss the concept of the likelihood function and continue with explaining the objectives of Frequentist inference and Bayesian inference.
November 2017
Statistical Inference & Reproducibility
Part I: Statistical Inference
Science thrives when researchers verify the results of others and using reproducibility is a way to establish the truth of a research claim. One of the causes of poor reproducibility is said to be the increased complexity of experiments and statistics, and the lack of proper understanding of the limitations of statistical significance as a criterion for knowledge claims. This blog series will address some key issues of reproducibility and will provide knowledge about statistical inference strategies that are important to take into account when you use this in your own work. In order to discuss the relation between reproducibility and statistical inference, we first need to understand what statistical inference is and what the differences are between the two main inference approaches: Frequentist and Bayesian.
February 2017
Correlation or Causation?
Did you know that countries that tip more also have more political corruption? Or that your finger length determines whether you are good at maths? Seem suspicious? Well, your cautiousness might be warranted. These weird correlations do not actually reflect things that cause one another. Confused? Well, here we are going to explain what correlation is and how it is distinct from causation. While we're at it, we will discuss when it makes sense to use correlation, and what type of correlation is best for your data.
December 2016
Being a Computational Scientist
Who are these Computational Data Geeks? If I would ask ”who do you think about when I say computational data scientist?”, you might think of Maurice Moss (IT crowd), Sheldon (Big Bang Theory), Wesley Crusher (Star Trek) or just ”sorry, what?”.
October 2016
Legal-tech: e-signatures
An electronic signature means data in electronic form that is attached to, or logically associated with, other data in electronic form and that is used to sign a document. An electronic seal is a type of electronic signature for a corporate entity that enables the electronic seal to bind the entity using it.