Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences

Autor: Ari Huusko, William J. Sutherland, Tyler D. Eddy, Doriane Stagnol, Deborah A. Buhl, Matt Rinella, Tatsuya Amano, Teppo Vehanen, Thomas R. Stanley, C. Roland Pitcher, David Abecasis, Ricardo S. Ceia, Anjali Pande, Brendan P. Kelaher, Shailesh Sharma, Juan C. Alonso, Adrià López-Baucells, Luciana Cibils-Martina, Heather L. Major, Jill A. Shaffer, Monica Montefalcone, Bradley P. Harris, Jake E. Bicknell, Annelies De Backer, Ian L. Jones, Aki Mäki-Petäys, Juan J. Schmitter-Soto, María C. Ruiz-Delgado, Corinne Watts, Oliver Tully, Norbertas Noreika, Kade Mills, Christoph F. J. Meyer, Just Cebrian, Michele Meroni, Qingyuan Zhao, Rafael Barrientos, Dominique Davoult, Michael D. Craig, Carlos Ponce, Mary K. Donovan, Alec P. Christie, Jonathan P. A. Gardner, Carlos Palacín, Alvaro Antón, Robert A. McConnaughey, Beatriz Martín, Aurora Torres, Daniel Mateos-Molina, Filipe França, Sarah Clarke, Kevin D. E. Stokesbury, Janne S. Kotiaho, Mehdi Adjeroud, Ricardo Rocha, Anna A. Sher, Barry P. Baldigo, Carlos A. Martín, Philip A. Martin, Joachim Claudet

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
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Nature Communications
Nature Communications, 2020, 11 (1), ⟨10.1038/s41467-020-20142-y⟩
Nature Communications, Nature Publishing Group, 2020, 11 (1), ⟨10.1038/s41467-020-20142-y⟩
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
E-Prints Complutense. Archivo Institucional de la UCM
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Building trust in science and evidence-based decision-making depends heavily on the credibility of studies and their findings. Researchers employ many different study designs that vary in their risk of bias to evaluate the true effect of intervention

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::493082571c46b1de097083387c4f7a61
https://doaj.org/article/c3f8aa3f77e54f6fa535672c92afaa44

Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences

Autor: Christie, Alec P., Abecasis, David, Adjeroud, Mehdi, Alonso, Juan C., Amano, Tatsuya, Anton, Alvaro, Baldigo, Barry P., Barrientos, Rafael, Bicknell, Jake E., Buhl, Deborah A., Cebrian, Just, Ceia, Ricardo S., Cibils-Martina, Luciana, Clarke, Sarah, Claudet, Joachim, Craig, Michael D., Davoult, Dominique, De Backer, Annelies, Donovan, Mary K., Eddy, Tyler D., França, Filipe M., Gardner, Jonathan P. A., Harris, Bradley P., Huusko, Ari, Jones, Ian L., Kelaher, Brendan P., Kotiaho, Janne S., López-Baucells, Adrià, Major, Heather L., Mäki-Petäys, Aki, Martín, Beatriz, Martín, Carlos A., Martin, Philip A., Mateos-Molina, Daniel, McConnaughey, Robert A., Meroni, Michele, Meyer, Christoph F. J., Mills, Kade, Montefalcone, Monica, Noreika, Norbertas, Palacín, Carlos, Pande, Anjali, Pitcher, C. Roland, Ponce, Carlos, Rinella, Matt, Rocha, Ricardo, Ruiz-Delgado, María C., Schmitter-Soto, Juan J., Shaffer, Jill A., Sharma, Shailesh, Sher, Anna A., Stagnol, Doriane, Stanley, Thomas R., Stokesbury, Kevin D. E., Torres, Aurora, Tully, Oliver, Vehanen, Teppo, Watts, Corinne, Zhao, Qingyuan, Sutherland, William J.

Building trust in science and evidence-based decision-making depends heavily on the credibility of studies and their findings. Researchers employ many different study designs that vary in their risk of bias to evaluate the true effect of intervention

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::922587dd2382721e4c64791864dc562b