Statistical Thinking in Epidemiology
"There are extensive references to the literature, both in statistics and in medicine. This is a demanding text, not mathematically but for the subtlety of the issues canvassed, some of which remain controversial. Should any reader come to this text thinking that the interpretation of regression results is a simple matter, they will be quickly disabused."—International Statistical Review, 2013"The graphical explanations proposed are quite convincing and these tools should be more exploited in statistical classes."—Sophie Donnet, Université Paris-Dauphine,CHANCE, 25.4