The population-attributable fraction for time-dependent exposures and competing risks-A discussion on estimands.

Environmental Exposure / adverse effects Humans Odds Ratio Probability Proportional Hazards Models Risk Risk Assessment / methods Time
competing risks hospital-acquired infection mortality population-attributable risk time-dependent exposure

Journal

Statistics in medicine
ISSN: 1097-0258
Titre abrégé: Stat Med
Pays: England
ID NLM: 8215016

Informations de publication

Date de publication:
10 09 2019
Historique:
received: 22 05 2018
revised: 02 05 2019
accepted: 03 05 2019
pubmed: 5 6 2019
medline: 18 12 2020
entrez: 5 6 2019
Statut: ppublish

Résumé

The population-attributable fraction (PAF) quantifies the public health impact of a harmful exposure. Despite being a measure of significant importance, an estimand accommodating complicated time-to-event data is not clearly defined. We discuss current estimands of the PAF used to quantify the public health impact of an internal time-dependent exposure for data subject to competing outcomes. To overcome some limitations, we proposed a novel estimand that is based on dynamic prediction by landmarking. In a profound simulation study, we discuss interpretation and performance of the various estimands and their estimators. The methods are applied to a large French database to estimate the health impact of ventilator-associated pneumonia for patients in intensive care.

Identifiants

DOI: 10.1002/sim.8208 PMID: 31162706
pubmed: 31162706
doi: 10.1002/sim.8208
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3880-3895

Informations de copyright

© 2019 John Wiley & Sons, Ltd.

Auteurs

Maja von Cube (M)

Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany.
ORCID: 0000-0003-3088-3513

Martin Schumacher (M)

Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany.

Sébastien Bailly (S)

HP2 Laboratory, University of Grenoble Alpes, Grenoble, France.
Department of Physiology and Sleep, Grenoble Alpes University Hospital, Grenoble, France.

Jean-François Timsit (JF)

UMR 1137 IAME Inserm, Université Paris Diderot, Paris, France.
APHP Medical and Infectious Diseases ICU, Bichat Hospital, Paris, France.

Alain Lepape (A)

Clinical Research Unit, Critical Care, Lyon Sud University Hospital, Hospices Civils de Lyon, Lyon, France.
Laboratory of Emerging Pathogens, International Center for Infectiology Research (CIRI), Inserm U1111, CNRS UMR5308, ENS de Lyon, UCBL1, Lyon, France.

Anne Savey (A)

CPIAS Auvergne-Rhône-Alpes, Hospices Civils de Lyon, Lyon, France.
Laboratory of Emerging Pathogens, International Center for Infectiology Research (CIRI), Inserm U1111, CNRS UMR5308, ENS de Lyon, UCBL1, Lyon, France.

Anais Machut (A)

CPIAS Auvergne-Rhône-Alpes, Hospices Civils de Lyon, Lyon, France.

Martin Wolkewitz (M)

Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Santé publique › Pollution de l'environnement › Exposition environnementale › The population-attributable fraction for...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › The population-attributable fraction for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Odds ratio › The population-attributable fraction for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › The population-attributable fraction for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de survie › Modèles des risques proportionnels › The population-attributable fraction for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › The population-attributable fraction for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Appréciation des risques › The population-attributable fraction for...
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