Causal Inference in Statistics: A Primer ISBN-978-1119186847

The comprehension and application of data depend heavily on causality. We cannot utilize data to address fundamental questions like “Does this treatment harm or help patients?” if we do not understand cause-and-effect linkages. However, despite the fact that there are hundreds of basic texts on statistical methods of data analysis, there hasn’t been a beginner-level book about the rapidly expanding toolkit of techniques that can extract causal information from data.