TY  - JOUR
AU  - Rodríguez-Barranco, Miguel
AU  - Tobías, Aurelio
AU  - Redondo, Daniel
AU  - Molina-Portillo, Elena
AU  - Sanchez-Perez, Maria-Jose
PY  - 2017
DO  - 10.1186/s12874-017-0322-8
UR  - http://hdl.handle.net/10668/2888
T2  - BMC Medical Research Methodology
AB  - BackgroundMeta-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...
LA  - en
PB  - Biomed Central
KW  - Meta-analysis
KW  - Systematic review
KW  - Log-transformation
KW  - Linear regression
KW  - Effect size
KW  - Regression coefficients
KW  - Metaanálisis
KW  - Revisión
KW  - Modelos lineales
KW  - Modelos estadísticos
KW  - Medical Subject Headings::Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Statistics as Topic::Regression Analysis::Linear Models
KW  - Medical Subject Headings::Publication Type::Study Characteristics::Meta-Analysis
KW  - Medical Subject Headings::Publication Type::Publication Formats::Review
KW  - Medical Subject Headings::Chemicals and Drugs::Inorganic Chemicals::Elements::Arsenic
KW  - Medical Subject Headings::Chemicals and Drugs::Inorganic Chemicals::Elements::Metals, Heavy::Manganese
KW  - Medical Subject Headings::Information Science::Information Science::Computing Methodologies::Computer Simulation
TI  - Standardizing effect size from linear regression models with log-transformed variables for meta-analysis
TY  - research article
ER  -