Directed acyclic graphs: Theory and practice in occupational epidemiology

Directed Acyclic Graphs: Theory and Practice in Occupational Epidemiology is a fundamental and rigorous methodological work that revolutionizes the analysis of causal inference in occupational health settings. Through a qualitative-analytical and practical approach, the text demystifies conventional statistical approaches to guide the reader in mapping theoretical assumptions, controlling for confounding factors, and avoiding critical systematic biases such as collision bias, selection bias, and the complex "immortal time bias." The manual stands out for its excellent pedagogical balance, seamlessly integrating established frameworks such as the Job Demand-Resource (JD-R) model with detailed R code pipelines. This makes it an indispensable, ethical, and transparent tool for epidemiologists, occupational health physicians, and decision-makers seeking to design robust preventive policies based on unquestionable evidence.