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An integrated approach to meta‐analysis in alcohol studies *
Author(s) -
JOHNSTONE BRYAN M.,
LEINO E. VICTOR,
MOTOYOSHI MICHELLE M.,
TEMPLE MARK T.,
FILLMORE KAYE MIDDLETON,
HARTKA ELIZABETH
Publication year - 1991
Publication title -
british journal of addiction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.424
H-Index - 193
eISSN - 1360-0443
pISSN - 0952-0481
DOI - 10.1111/j.1360-0443.1991.tb01701.x
Subject(s) - categorical variable , meta analysis , random effects model , computer science , population , econometrics , operations research , statistics , management science , engineering , mathematics , machine learning , medicine , environmental health
The research design and methods utilised by the Collaborative Alcohol‐Related Longitudinal Project are described. The project design addresses the critical need to develop procedures to assess the replicability of research results in alcohol studies. Key features of the research plan include: re‐analysis of original data from multiple longitudinal studies of drinking behavior in the general population; centralization of all data analyses, developed and implemented by an interdisciplinary core staff; development of the research plan and interpretation of results in co‐operation with original investigators of studies included in the project; and use of modeling procedures from meta‐analysis to quantify the relative contribution of factors influencing the distribution of effect estimates across studies, including both methodological differences and aggregate level variables. The final section describes statistical methods for meta‐analysis used by the project, including procedures for the calculation and combination of estimates of effect magnitude, categorical and continuous modeling procedures for use with effect sixes, and random effects models.