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Aggregate time-series regression in the field of alcohol


Rehm, Jürgen; Gmel, Gerhard (2001). Aggregate time-series regression in the field of alcohol. Addiction, 96(7):945-954.

Abstract

Time-series regression of successive aggregate data has been used widely to explore relationships between substance use and harm, or to measure effects of policy interventions. This paper suggests minimal standards to conduct such analyses with respect to validity and reliability of underlying data, statistical techniques and requirements and interpretation of results.

Abstract

Time-series regression of successive aggregate data has been used widely to explore relationships between substance use and harm, or to measure effects of policy interventions. This paper suggests minimal standards to conduct such analyses with respect to validity and reliability of underlying data, statistical techniques and requirements and interpretation of results.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Swiss Research Institute for Public Health and Addiction
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2001
Deposited On:04 Jun 2014 08:41
Last Modified:19 Feb 2018 22:07
Publisher:Wiley-Blackwell
ISSN:0965-2140
OA Status:Closed
Publisher DOI:https://doi.org/10.1080/09652140120052995
PubMed ID:11440604

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