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Three risk of bias tools lead to opposite conclusions in observational research synthesis · Study

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Three risk of bias tools lead to opposite conclusions in observational research synthesis

Josep-María Losilla, Isabel Oliveras, Juan Antonio Marin-Garcia, Jaume Vives

2018-06-01articleJournal of Clinical Epidemiology111 citationsgreen

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Meta-analysis and systematic reviews Advanced Causal Inference Techniques Statistical Methods in Epidemiology

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References

1977The Measurement of Observer Agreement for Categorical Data

1960A Coefficient of Agreement for Nominal Scales

2011The Cochrane Collaboration's tool for assessing risk of bias in randomised trials

2016ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

2011QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

1971Measuring nominal scale agreement among many raters.

1938A NEW MEASURE OF RANK CORRELATION

1995Empirical Evidence of Bias

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2020Risk of Bias Assessments and Evidence Syntheses for Observational Epidemiologic Studies of Environmental and Occupational Exposures: Strengths and Limitations

2025Core GRADE 4: rating certainty of evidence—risk of bias, publication bias, and reasons for rating up certainty

2023Health and health system impacts of China’s comprehensive primary healthcare reforms: a systematic review

2025Socioeconomic status and depression—a systematic review

2019RoB-SPEO: A tool for assessing risk of bias in studies estimating the prevalence of exposure to occupational risk factors from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury

2023Supply chain agility and performance: evidence from a meta-analysis

Details

Year2018

Typearticle

VenueJournal of Clinical Epidemiology

Languageen

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doi10.1016/j.jclinepi.2018.05.021

openalex_workW2805584423

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