Causal Etiology of the Research of James M. Robins

TL;DR

This paper highlights the extensive and influential research contributions of James M. Robins in the field of statistics, emphasizing his work's breadth and depth over nearly four decades.

Contribution

It provides a comprehensive overview of Robins' research trajectory, illustrating the development and impact of his work in causal inference.

Findings

Robins' work significantly advanced causal inference methodology.

The special issue showcases key research topics and contributions by Robins.

Robins' research has shaped modern statistical approaches to causality.

Abstract

This issue of Statistical Science draws its inspiration from the work of James M. Robins. Jon Wellner, the Editor at the time, asked the two of us to edit a special issue that would highlight the research topics studied by Robins and the breadth and depth of Robins' contributions. Between the two of us, we have collaborated closely with Jamie for nearly 40 years. We agreed to edit this issue because we recognized that we were among the few in a position to relate the trajectory of his research career to date.