What is causal inference? Most simply, causal inference is a sub-discipline of statistics and computer science that aims to infer causes from data. I will go through some basic principles of causal inference, illustrate why many standard analyses conducted in the biological sciences (e.g. multiple regression, model selection) frequently violate causal inference principles, show you why experiments are not safe from thinking causally and, finally, provide some recommendations about how to improve causal inference in the biological sciences.
SAEON Graduate Student Network