Posts

Modeling the central tendency within one sample without the normality assumption

Markov Chain Monte Carlo algorithms

Modeling the central tendency within one sample

Interaction terms as a modest introduction to mixed effect models

Model comparison by means of information criterion and maximum entropy

Backdoor criterions, conditional independencies, and more causal inference

Directed acyclic graphs and causal inferences from regression models

First linear regression models using quadratic approximation

This post introduces my preferred method for giving reviewers access to both raw code and data of a submitted manuscript

Introducing the concept of posteriors and grid approximation