Literature DB >> 11440604

Aggregate time-series regression in the field of alcohol.

J Rehm1, G Gmel.   

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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Mesh:

Year:  2001        PMID: 11440604     DOI: 10.1046/j.1360-0443.2001.9679453.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  6 in total

1.  Alcohol and liver cirrhosis mortality in the United States: comparison of methods for the analyses of time-series panel data models.

Authors:  Yu Ye; William C Kerr
Journal:  Alcohol Clin Exp Res       Date:  2010-10-06       Impact factor: 3.455

2.  Power computations in time series analyses for traffic safety interventions.

Authors:  A Ian McLeod; E R Vingilis
Journal:  Accid Anal Prev       Date:  2007-11-21

3.  Per capita alcohol consumption and suicide mortality in a panel of US states from 1950 to 2002.

Authors:  William C Kerr; Meenakshi Subbaraman; Yu Ye
Journal:  Drug Alcohol Rev       Date:  2011-09

4.  Does the type of CIA policy significantly affect bar and restaurant employment in Minnesota cities?

Authors:  E G Klein; J L Forster; D J Erickson; L A Lytle; B Schillo
Journal:  Prev Sci       Date:  2009-06

5.  Assessing the impact of prescribed medicines on health outcomes.

Authors:  Wayne D Hall; Jayne Lucke
Journal:  Aust New Zealand Health Policy       Date:  2007-02-15

6.  Typology and Dynamics of Heavier Drinking Styles in Great Britain: 1978-2010.

Authors:  Robin C Purshouse; Alan Brennan; Daniel Moyo; James Nicholls; Paul Norman
Journal:  Alcohol Alcohol       Date:  2017-05-01       Impact factor: 2.826

  6 in total

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