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      Health outcomes in redlined versus non-redlined neighborhoods: A systematic review and meta-analysis

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          Measuring inconsistency in meta-analyses.

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            Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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              Is Open Access

              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 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.
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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Social Science & Medicine
                Social Science & Medicine
                Elsevier BV
                02779536
                February 2022
                February 2022
                : 294
                : 114696
                Article
                10.1016/j.socscimed.2021.114696
                34995988
                30f67ac1-d47a-42d1-bdf1-e53cdf729010
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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