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ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions
- Source :
- Sterne, J, Hernán, M A, Reeves, B, Savović, J, Berkman, N D, Viswanathan, M, Henry, D, Altman, D G, Ansari, M T, Boutron, I, Carpenter, J R, Chan, A-W, Churchill, R, Deeks, J J, Hróbjartsson, A, Kirkham, J, Juni, P, Loke, Y K, Pigott, T D, Ramsay, C R, Regidor, D, Rothstein, H R, Sandhu, L, Schünemann, H, Shea, B, Shrier, I, Tugwell, P, Turner, L, Valentine, J C, Waddington, H, Waters, E, Wells, G A, Whiting, P & Higgins, J 2016, ' ROBINS-I : a tool for assessing risk of bias in non-randomized studies of interventions ', BMJ, vol. 355, i4919 . https://doi.org/10.1136/bmj.i4919, Sterne, J A C, Hernan, M A, Reeves, B C, Savovic, J, Berkman, N D, Viswanathan, M, Henry, D, Altman, D G, Ansari, M T, Boutron, I, Carpenter, J R, Chan, A-W, Churchill, R, Deeks, J J, Hrobjartsson, A, Kirkham, J, Juni, P, Loke, Y K, Pigott, T D, Ramsay, C R, Regidor, D, Rothstein, H R, Sandhu, L, Santaguida, P L, Schünemann, H J, Shea, B, Shrier, I, Tugwell, P, Turner, L, Valentine, J C, Waddington, H, Waters, E, Wells, G A, Whiting, P F & Higgins, J P T 2016, ' ROBINS-I : a tool for assessing risk of bias in non-randomised studies of interventions ', B M J, vol. 355, i4919 . https://doi.org/10.1136/bmj.i4919, BMJ, Sterne, J A, Hernán, M A, Reeves, B C, Savović, J, Berkman, N D, Viswanathan, M, Henry, D, Altman, D G, Ansari, M T, Boutron, I, Carpenter, J R, Chan, A-W, Churchill, R, Deeks, J J, Hróbjartsson, A, Kirkham, J, Jüni, P, Loke, Y K, Pigott, T D, Ramsay, C R, Regidor, D, Rothstein, H R, Sandhu, L, Santaguida, P L, Schünemann, H J, Shea, B, Shrier, I, Tugwell, P, Turner, L, Valentine, J C, Waddington, H, Waters, E, Wells, G A, Whiting, P F & Higgins, J P 2016, ' ROBINS-I : a tool for assessing risk of bias in non-randomised studies of interventions ', BMJ (Clinical Research Edition), vol. 355, pp. i4919 . https://doi.org/10.1136/bmj.i4919, The BMJ
- Publication Year :
- 2016
- Publisher :
- BMJ Publishing Group, 2016.
-
Abstract
- Non-randomized studies of the effects of interventions are critical to many areas of health care 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-randomized 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 randomization 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-randomized studies.
- Subjects :
- Risk
Veterinary medicine
Statistics as Topic
Psychological intervention
MEDLINE
Pilot Projects
BTC (Bristol Trials Centre)
03 medical and health sciences
0302 clinical medicine
Bias
systematic reviews randomized-trials health-care quality medicine General & Internal Medicine
Health care
Research Methods & Reporting
Humans
Medicine
030212 general & internal medicine
Clinical Trials as Topic
Actuarial science
business.industry
Confounding
Confounding Factors, Epidemiologic
Statistics as Topic/instrumentation
General Medicine
Confounding Factors (Epidemiology)
3. Good health
Observational Studies as Topic
Systematic review
Harm
Centre for Surgical Research
business
030217 neurology & neurosurgery
Strengths and weaknesses
Subjects
Details
- Language :
- English
- ISSN :
- 09598138 and 17561833
- Database :
- OpenAIRE
- Journal :
- Sterne, J, Hernán, M A, Reeves, B, Savović, J, Berkman, N D, Viswanathan, M, Henry, D, Altman, D G, Ansari, M T, Boutron, I, Carpenter, J R, Chan, A-W, Churchill, R, Deeks, J J, Hróbjartsson, A, Kirkham, J, Juni, P, Loke, Y K, Pigott, T D, Ramsay, C R, Regidor, D, Rothstein, H R, Sandhu, L, Schünemann, H, Shea, B, Shrier, I, Tugwell, P, Turner, L, Valentine, J C, Waddington, H, Waters, E, Wells, G A, Whiting, P & Higgins, J 2016, ' ROBINS-I : a tool for assessing risk of bias in non-randomized studies of interventions ', BMJ, vol. 355, i4919 . https://doi.org/10.1136/bmj.i4919, Sterne, J A C, Hernan, M A, Reeves, B C, Savovic, J, Berkman, N D, Viswanathan, M, Henry, D, Altman, D G, Ansari, M T, Boutron, I, Carpenter, J R, Chan, A-W, Churchill, R, Deeks, J J, Hrobjartsson, A, Kirkham, J, Juni, P, Loke, Y K, Pigott, T D, Ramsay, C R, Regidor, D, Rothstein, H R, Sandhu, L, Santaguida, P L, Schünemann, H J, Shea, B, Shrier, I, Tugwell, P, Turner, L, Valentine, J C, Waddington, H, Waters, E, Wells, G A, Whiting, P F & Higgins, J P T 2016, ' ROBINS-I : a tool for assessing risk of bias in non-randomised studies of interventions ', B M J, vol. 355, i4919 . https://doi.org/10.1136/bmj.i4919, BMJ, Sterne, J A, Hernán, M A, Reeves, B C, Savović, J, Berkman, N D, Viswanathan, M, Henry, D, Altman, D G, Ansari, M T, Boutron, I, Carpenter, J R, Chan, A-W, Churchill, R, Deeks, J J, Hróbjartsson, A, Kirkham, J, Jüni, P, Loke, Y K, Pigott, T D, Ramsay, C R, Regidor, D, Rothstein, H R, Sandhu, L, Santaguida, P L, Schünemann, H J, Shea, B, Shrier, I, Tugwell, P, Turner, L, Valentine, J C, Waddington, H, Waters, E, Wells, G A, Whiting, P F & Higgins, J P 2016, ' ROBINS-I : a tool for assessing risk of bias in non-randomised studies of interventions ', BMJ (Clinical Research Edition), vol. 355, pp. i4919 . https://doi.org/10.1136/bmj.i4919, The BMJ
- Accession number :
- edsair.doi.dedup.....69112360791c0acd6c8ce151fed9e972
- Full Text :
- https://doi.org/10.1136/bmj.i4919