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Funnel plots for comparing institutional performance

Statistics in Medicine · 2004 · Vol. 24(8) · pp. 1185–1202
David J. Spiegelhalter

Abstract

'Funnel plots' are recommended as a graphical aid for institutional comparisons, in which an estimate of an underlying quantity is plotted against an interpretable measure of its precision. 'Control limits' form a funnel around the target outcome, in a close analogy to standard Shewhart control charts. Examples are given for comparing proportions and changes in rates, assessing association between outcome and volume of cases, and dealing with over-dispersion due to unmeasured risk factors. We conclude that funnel plots are flexible, attractively simple, and avoid spurious ranking of institutions into 'league tables'.

Statistical Methods in Clinical TrialsAdvanced Statistical Process MonitoringStatistical Methods and Bayesian InferenceFunnel plotSpurious relationshipFunnelRanking (information retrieval)StatisticsEconometricsComputer scienceOutcome (game theory)AnalogyMathematics

MeSH terms

AdolescentCoronary Artery BypassBiometryCross-Sectional StudiesEnglandFemaleCardiac Surgical ProceduresHumansInfantPregnancyPregnancy in AdolescenceQuality Assurance, Health CareRisk FactorsOdds RatioOutcome Assessment, Health Care
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810
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References
Funnel plots for detecting bias in meta-analysis
Journal of Clinical Epidemiology · 2001 · 3,689 citations
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Journal of the American Statistical Association · 1993 · 4,940 citations
A Direct Approach to False Discovery Rates
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2002 · 5,723 citations
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