Use of a multi-state model in a claims database: illustration with methadone-Reference-Cited by-同舟云学术

Use of a multi-state model in a claims database: illustration with methadone

Published:2015-07-14 Issue:9 Volume:24 Page:991-998
ISSN:1053-8569
Container-title:Pharmacoepidemiology and Drug Safety
language:en
Short-container-title:Pharmacoepidemiol Drug Saf

Author:

Boucherie Quentin¹²,Pauly Vanessa³,Frauger Elisabeth¹²,Thirion Xavier³,Pradel Vincent¹³,Micallef Joëlle¹²

Affiliation:

1. Aix Marseille Université, Institut de Neurosciences Timone; CNRS 7289, Service de Pharmacologie clinique et pharmacovigilance-; 264, rue Saint Pierre 13385 Marseille France

2. Centre d'addictovigilance (CEIP) PACA-Corse Marseille; 264, rue Saint Pierre 13385 Marseille France

3. Aix Marseille Université, EA 3279 Laboratoire de Santé Publique; APHM, CEIP-Addictovigilance associé Paca Corse; 270 Boulevard de Sainte-Marguerite 13009 Marseille France

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pds.3835/fullpdf

Reference41 articles.

1. Predictors of patient retention in a newly established methadone maintenance treatment programme;Del Rio;Addict Abingdon Engl,1997

2. Trends in methadone maintenance treatment participation, retention, and compliance to dosing guidelines in British Columbia, Canada: 1996-2006;Nosyk;J Subst Abuse Treat,2010

3. An overview of systematic reviews of the effectiveness of opiate maintenance therapies: available evidence to inform clinical practice and research;Amato;J Subst Abuse Treat,2005

4. Predictors of methadone program non-retention for opioid analgesic dependent patients;Cox;J Subst Abuse Treat,2013

5. Measuring persistence to hormonal therapy in patients with breast cancer: accounting for temporary treatment discontinuation;Huiart;Pharmacoepidemiol Drug Saf,2014

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