Standardizing effect size from linear regression models with log-transformed variables for meta-analysis
نویسندگان
چکیده
منابع مشابه
Erratum to: Standardizing effect size from linear regression models with log-transformed variables for meta-analysis
BACKGROUND Meta-analysis is very useful to summarize the effect of a treatment or a risk factor for a given disease. Often studies report results based on log-transformed variables in order to achieve the principal assumptions of a linear regression model. If this is the case for some, but not all studies, the effects need to be homogenized. METHODS We derived a set of formulae to transform a...
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ژورنال
عنوان ژورنال: BMC Medical Research Methodology
سال: 2017
ISSN: 1471-2288
DOI: 10.1186/s12874-017-0322-8