Instrumental variable analysis using multiple databases: An example of antidepressant use and risk of hip/femur fracture

Background: Instrumental variable (IV) analysis can reduce bias due to unmeasured confounding, yet it has not been widely used in pharmacoepidemiologic studies. Objectives: To assess the performance of several IVs across multiple databases in a study of antidepressant use and risk of hip/femur fracture (HF). Methods: Information on adult patients with at least one prescription of a selective serotonin reuptake inhibitor (SSRI) or tricyclic antidepressant (TCA) during 2001-2009 was extracted from three European databases: THIN (UK, n = 570139), BIFAP (Spain, n = 250865), and Mondriaan (Netherla... Mehr ...

Verfasser: Uddin, Md Jamal
Groenwold, Rolf H.H.
De Boer, Anthonius
Gardarsdottir, Helga
Martin, Elisa
Candore, Gianmario
Belitser, Svetlana V.
Hoes, Arno W.
Roes, Kit C.B.
Klungel, Olaf H.
Dokumenttyp: Abstract
Erscheinungsdatum: 2014
Schlagwörter: antidepressant agent / serotonin uptake inhibitor / tricyclic antidepressant agent / instrumental variable analysis / data base / risk / fracture / pharmacoepidemiology / risk management / prescription / human / proportional hazards model / postsynaptic potential / patient / physician / Netherlands / hazard ratio / bootstrapping / Spain / United Kingdom / confidence interval / validity / adult
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26834950
Datenquelle: BASE; Originalkatalog
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Link(s) : https://dspace.library.uu.nl/handle/1874/304263