Multiple regression would confound the clinicians

EDITOR,—Steven A Julious and Mark A Mullee discuss confounding and Simpson's paradox, defining confounding as occurring “when the association between an exposure and an outcome is investigated but the exposure and outcome are strongly associated with a third variable. An extreme example of this is Simpson's paradox, in which this third factor reverses the effect first observed.”1 In their analysis of my and colleagues' …