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Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis

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References

2009Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement83,813 cited
2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement63,979 cited
2003Measuring inconsistency in meta-analyses63,086 cited
2009Introduction to Meta‐Analysis14,215 cited
1998The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions.8,247 cited
2012Using Effect Size—or Why the P Value Is Not Enough5,550 cited
2016Plea for routinely presenting prediction intervals in meta-analysis2,247 cited
2011The role and validity of actigraphy in sleep medicine: An update1,412 cited
2001A comparison of methods to detect publication bias in meta‐analysis1,286 cited
2007Practice Parameters for the Use of Actigraphy in the Assessment of Sleep and Sleep Disorders: An Update for 20071,142 cited
2013Measuring Sleep: Accuracy, Sensitivity, and Specificity of Wrist Actigraphy Compared to Polysomnography1,052 cited
2003Evidence for the Validity of a Sleep Habits Survey for Adolescents682 cited
2018Interpretation of subgroup analyses in systematic reviews: A tutorial561 cited
2010Objective measurements of sleep for non-laboratory settings as alternatives to polysomnography - a systematic review

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