Development and validation of MIX: comprehensive free software for meta-analysis of causal research data

BACKGROUND: Meta-analysis has become a well-known method for synthesis of quantitative data from previously conducted research in applied health sciences. So far, meta-analysis has been particularly useful in evaluating and comparing therapies and in assessing causes of disease. Consequently, the nu...

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Detalles Bibliográficos
Autores principales: Bax, Leon, Yu, Ly-Mee, Ikeda, Noriaki, Tsuruta, Harukazu, Moons, Karel GM
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1626481/
https://www.ncbi.nlm.nih.gov/pubmed/17038197
http://dx.doi.org/10.1186/1471-2288-6-50

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1626481/
https://www.ncbi.nlm.nih.gov/pubmed/17038197
http://dx.doi.org/10.1186/1471-2288-6-50

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