Applied causal inference methods for sequential mediators.

Zugna, D; Popovic, M; Fasanelli, F; Heude, B; Scelo, G; Richiardi, L

Zugna, D; Popovic, M; Fasanelli, F; Heude, B; Scelo, G; Richiardi, L.

Affiliation

Zugna D; Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126, Turin, Italy. daniela.zugna@unito.it.
Popovic M; Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126, Turin, Italy.
Fasanelli F; Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126, Turin, Italy.
Heude B; Université de Paris Cité, Inserm, INRAE, Centre of Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.
Scelo G; Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126, Turin, Italy.
Richiardi L; Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Via Santena 7, 10126, Turin, Italy.

BMC Med Res Methodol ; 22(1): 301, 2022 11 24.

Article in En | MEDLINE | ID: mdl-36424556

Subject(s)

Respiratory Sounds; Respiratory Tract Infections; Female; Humans; Infant; Pregnancy; Causality; Mediation Analysis; Odds Ratio

Key words

Causal inference; Direct and indirect effects; Imputation; Mediation analysis; Sequential mediators; Weighting

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Tract Infections / Respiratory Sounds Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Infant / Pregnancy Language: En Journal: BMC Med Res Methodol Journal subject: MEDICINA Year: 2022 Document type: Article Affiliation country: Italy Country of publication: United kingdom

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