HernánMAHernández-DíazSRobinsJM.. A structural approach to selection bias. Epidemiology2004; 15: 615–625.
2.
RobinsJMHernánMA.. Estimation of the causal effects of time-varying exposures. In: FitzmauriceGDavidianMVerbekeGMolenberghsG.Longitudinal data analysis. New York: Chapman and Hall/CRC Press, 2008, 553–599.
3.
RubinDB.. Comment on: “Randomization analysis of experimental data in the Fisher randomization test” by D. Basu. J Am Stat Assoc1980; 75: 591–593.
4.
RubinDB.. Which ifs have causal answers? Comment on: “Statistics and causal inference” by P. Holland. J Am Stat Assoc1986; 81: 961–962.
5.
RobinsJMGreenlandS.. Comment on “Causal inference without counterfactuals” by A.P. Dawid. J Am Stat Assoc2000; 95: 431–435.
6.
GreenlandS.. Epidemiologic measures and policy formulation: Lessons from potential outcomes (with discussion). Emerg Themes Epidemiol2005; 2: 5–5.
7.
HernánMA.. Invited commentary: Hypothetical interventions to define causal effects: afterthought or prerequisite?Am J Epidemiol2005; 162: 618–620.
8.
van der LaanMJHaightTTagerIB.van deer Lan respond to “Hypothetical interventions to define causal effects”. Am J Epidemiol2005; 162: 621–622.
9.
HernanMATaubmanSL.. Does obesity shorten life? The importance of well-defined interventions to answer causal questions. Int J Obes (Lond)2008; 32 Suppl 3: S8–S14.
10.
ColeSRFrangakisCE.. The consistency statement in causal inference: a definition or an assumption?Epidemiology2009; 20: 3–5.
11.
VanderWeeleTJ.. Concerning the consistency assumption in causal inference. Epidemiology2009; 20: 880–883.
12.
PearlJ.. On the consistency rule in causal inference: axiom, definition, assumption, or theorem?Epidemiology2010; 21: 872–875.