Mediation analysis of time-to-event endpoints accounting for repeatedly measured mediators subject to time-varying confounding.

Vansteelandt, Stijn; Linder, Martin; Vandenberghe, Sjouke; Steen, Johan; Madsen, Jesper

Vansteelandt, Stijn; Linder, Martin; Vandenberghe, Sjouke; Steen, Johan; Madsen, Jesper.

Affiliation

Vansteelandt S; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
Linder M; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
Vandenberghe S; Novo Nordisk, Bagsvaerd, Denmark.
Steen J; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
Madsen J; Ghent University Hospital, Ghent, Belgium.

Stat Med ; 38(24): 4828-4840, 2019 10 30.

Article in En | MEDLINE | ID: mdl-31411779

Subject(s)

Models, Statistical; Randomized Controlled Trials as Topic; Cardiovascular Diseases/epidemiology; Cardiovascular Diseases/prevention & control; Confounding Factors, Epidemiologic; Diabetes Mellitus, Type 2/drug therapy; Diabetic Angiopathies/epidemiology; Diabetic Angiopathies/prevention & control; Effect Modifier, Epidemiologic; Endpoint Determination; Humans; Hypoglycemic Agents/therapeutic use; Liraglutide/therapeutic use; Research Design

Key words

g-formula; longitudinal data; mediation; path-specific effect; time-dependent confounding

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Randomized Controlled Trials as Topic / Models, Statistical Type of study: Clinical_trials / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Stat Med Year: 2019 Document type: Article Affiliation country: Belgium Country of publication: United kingdom

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