title: What's new in the quantification of causal effects from longitudinal cohort studies: a brief introduction to marginal structural models for intensivists.
authors.affiliation: U823, Grenoble Alpes University, Rond-point de la Chantourne, 38700, La Tronche, France. sbailly@chu-grenoble.fr.|UMR 1137, IAME Team 5, DeSCID: Decision SCiences in Infectious Diseases, Control and Care Inserm/Paris Diderot, Sorbonne Paris Cité University, 16 rue Henri Huchard, 75018, Paris, France. sbailly@chu-grenoble.fr.
authors.forename: S
authors.initials: S
authors.lastname: Bailly
authors.affiliation: Department of Anesthesia and Perioperative Care, San Francisco General Hospital and Trauma Center, University of California San Francisco, San Francisco, CA, USA.|Division of Biostatistics, School of Public Health, University of California at Berkeley, Berkeley, CA, USA.
authors.forename: R
authors.initials: R
authors.lastname: Pirracchio
authors.affiliation: UMR 1137, IAME Team 5, DeSCID: Decision SCiences in Infectious Diseases, Control and Care Inserm/Paris Diderot, Sorbonne Paris Cité University, 16 rue Henri Huchard, 75018, Paris, France.|Medical and Infectious Diseases ICU-Paris Diderot University/Bichat Hospital, 46 rue Henri Huchard, 75018, Paris, France.
authors.forename: J F
authors.initials: JF
authors.lastname: Timsit
mesh_terms: D015331:Cohort Studies; D003422:Critical Care; D006801:Humans; D008137:Longitudinal Studies; D008961:Models, Structural; D018805:Sepsis / Q000628:therapy