Rehm, Jürgen; Gmel, Gerhard (2001). Aggregate time-series regression in the field of alcohol. Addiction, 96(7):945-954.
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.
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.
| 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 |
| Scopus Subject Areas: | Health Sciences > Medicine (miscellaneous)
Health Sciences > Psychiatry and Mental Health |
| Language: | English |
| Date: | 2001 |
| Deposited On: | 04 Jun 2014 08:41 |
| Last Modified: | 09 Nov 2022 10:54 |
| Publisher: | Wiley-Blackwell |
| ISSN: | 0965-2140 |
| OA Status: | Closed |
| Publisher DOI: | https://doi.org/10.1046/j.1360-0443.2001.9679453.x |
| PubMed ID: | 11440604 |
Rehm, Jürgen