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ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions
Non-randomised studies of the effects of interventions are critical to many areas of healthcare evaluation, but their results may be biased. It is therefore important to understand and appraise their strengths and weaknesses. We developed ROBINS-I (“Risk Of Bias In Non-randomised Studies - of Interv...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BMJ Publishing Group Ltd.
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062054/ https://www.ncbi.nlm.nih.gov/pubmed/27733354 http://dx.doi.org/10.1136/bmj.i4919 |
| _version_ | 1782459700185399296 |
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| author | Sterne, Jonathan AC Hernán, Miguel A Reeves, Barnaby C Savović, Jelena Berkman, Nancy D Viswanathan, Meera Henry, David Altman, Douglas G Ansari, Mohammed T Boutron, Isabelle Carpenter, James R Chan, An-Wen Churchill, Rachel Deeks, Jonathan J Hróbjartsson, Asbjørn Kirkham, Jamie Jüni, Peter Loke, Yoon K Pigott, Theresa D Ramsay, Craig R Regidor, Deborah Rothstein, Hannah R Sandhu, Lakhbir Santaguida, Pasqualina L Schünemann, Holger J Shea, Beverly Shrier, Ian Tugwell, Peter Turner, Lucy Valentine, Jeffrey C Waddington, Hugh Waters, Elizabeth Wells, George A Whiting, Penny F Higgins, Julian PT |
| author_facet | Sterne, Jonathan AC Hernán, Miguel A Reeves, Barnaby C Savović, Jelena Berkman, Nancy D Viswanathan, Meera Henry, David Altman, Douglas G Ansari, Mohammed T Boutron, Isabelle Carpenter, James R Chan, An-Wen Churchill, Rachel Deeks, Jonathan J Hróbjartsson, Asbjørn Kirkham, Jamie Jüni, Peter Loke, Yoon K Pigott, Theresa D Ramsay, Craig R Regidor, Deborah Rothstein, Hannah R Sandhu, Lakhbir Santaguida, Pasqualina L Schünemann, Holger J Shea, Beverly Shrier, Ian Tugwell, Peter Turner, Lucy Valentine, Jeffrey C Waddington, Hugh Waters, Elizabeth Wells, George A Whiting, Penny F Higgins, Julian PT |
| author_sort | Sterne, Jonathan AC |
| collection | PubMed |
| description | Non-randomised studies of the effects of interventions are critical to many areas of healthcare evaluation, but their results may be biased. It is therefore important to understand and appraise their strengths and weaknesses. We developed ROBINS-I (“Risk Of Bias In Non-randomised Studies - of Interventions”), a new tool for evaluating risk of bias in estimates of the comparative effectiveness (harm or benefit) of interventions from studies that did not use randomisation to allocate units (individuals or clusters of individuals) to comparison groups. The tool will be particularly useful to those undertaking systematic reviews that include non-randomised studies. |
| format | Online Article Text |
| id | pubmed-5062054 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2016 |
| publisher | BMJ Publishing Group Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-50620542016-10-17 ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions Sterne, Jonathan AC Hernán, Miguel A Reeves, Barnaby C Savović, Jelena Berkman, Nancy D Viswanathan, Meera Henry, David Altman, Douglas G Ansari, Mohammed T Boutron, Isabelle Carpenter, James R Chan, An-Wen Churchill, Rachel Deeks, Jonathan J Hróbjartsson, Asbjørn Kirkham, Jamie Jüni, Peter Loke, Yoon K Pigott, Theresa D Ramsay, Craig R Regidor, Deborah Rothstein, Hannah R Sandhu, Lakhbir Santaguida, Pasqualina L Schünemann, Holger J Shea, Beverly Shrier, Ian Tugwell, Peter Turner, Lucy Valentine, Jeffrey C Waddington, Hugh Waters, Elizabeth Wells, George A Whiting, Penny F Higgins, Julian PT BMJ Research Methods & Reporting Non-randomised studies of the effects of interventions are critical to many areas of healthcare evaluation, but their results may be biased. It is therefore important to understand and appraise their strengths and weaknesses. We developed ROBINS-I (“Risk Of Bias In Non-randomised Studies - of Interventions”), a new tool for evaluating risk of bias in estimates of the comparative effectiveness (harm or benefit) of interventions from studies that did not use randomisation to allocate units (individuals or clusters of individuals) to comparison groups. The tool will be particularly useful to those undertaking systematic reviews that include non-randomised studies. BMJ Publishing Group Ltd. 2016-10-12 /pmc/articles/PMC5062054/ /pubmed/27733354 http://dx.doi.org/10.1136/bmj.i4919 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/. |
| spellingShingle | Research Methods & Reporting Sterne, Jonathan AC Hernán, Miguel A Reeves, Barnaby C Savović, Jelena Berkman, Nancy D Viswanathan, Meera Henry, David Altman, Douglas G Ansari, Mohammed T Boutron, Isabelle Carpenter, James R Chan, An-Wen Churchill, Rachel Deeks, Jonathan J Hróbjartsson, Asbjørn Kirkham, Jamie Jüni, Peter Loke, Yoon K Pigott, Theresa D Ramsay, Craig R Regidor, Deborah Rothstein, Hannah R Sandhu, Lakhbir Santaguida, Pasqualina L Schünemann, Holger J Shea, Beverly Shrier, Ian Tugwell, Peter Turner, Lucy Valentine, Jeffrey C Waddington, Hugh Waters, Elizabeth Wells, George A Whiting, Penny F Higgins, Julian PT ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions |
| title | ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions |
| title_full | ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions |
| title_fullStr | ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions |
| title_full_unstemmed | ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions |
| title_short | ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions |
| title_sort | robins-i: a tool for assessing risk of bias in non-randomised studies of interventions |
| topic | Research Methods & Reporting |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062054/ https://www.ncbi.nlm.nih.gov/pubmed/27733354 http://dx.doi.org/10.1136/bmj.i4919 |
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