Commentary: Smoking and lung cancer: reflections on a pioneering paper

This fine paper1 is surely of direct value to all inter-ested in the history of a major issue, possibly the major issue, in non-infectious disease epidemiology. It also sends a strong message to epidemiologists, statisticians and those from the machine learning world who are concerned with potential causal inter-pretation of their data. It may indeed be helpful to introduce statistical models to represent causal processes, even to call them causal models and to fit them successfully to empirical data, but this is far from demonstrating causality itself. At a more personal level, the paper is a reminder of the one author whom I knew personally, J. Cornfield. He was a fine statistician, conversations with whom were as stimulating as they were enjoyable