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CHANCE Volume 15, 2002 - Issue 3
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Visual Revelations

The BK-Plot: Making Simpson's Paradox Clear to the Masses

Howard Wainer National Board of Medical Examiners, 3750 Market Street, Philadelphia, PA, 19104, USA
Pages 60-62 | Published online: 20 Sep 2012

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Read on this site (2)

Jeff Witmer. (2021) Simpson’s Paradox, Visual Displays, and Causal Diagrams. The American Mathematical Monthly 128:7, pages 598-610.
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Milton W. Loyer & Gene D. Sprechini. (2011) Can the Probability of an Event Be Larger or Smaller Than Each of Its Component Conditional Probabilities?. CHANCE 24:1, pages 44-53.
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Articles from other publishers (8)

Matthew T. Brenneman & Rebecca L. Pierce. (2023) Media Covid misinformation due to confounding. Teaching Statistics 45:3, pages 158-166.
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Stuart G. Baker. (2013) Causal inference, probability theory, and graphical insights. Statistics in Medicine 32:25, pages 4319-4330.
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Stuart G. Baker & Barnett S. Kramer. (2013) Surrogate Endpoint Analysis: An Exercise in Extrapolation. JNCI: Journal of the National Cancer Institute 105:5, pages 316-320.
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Cora MC Busstra, Rob Hartog & Pieter van 't Veer. (2005) Teaching: the role of active manipulation of three-dimensional scatter plots in understanding the concept of confounding. Epidemiologic Perspectives & Innovations 2:1.
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Stuart G Baker & Laurence S Freedman. (2003) A simple method for analyzing data from a randomized trial with a missing binary outcome. BMC Medical Research Methodology 3:1.
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Stuart G Baker & Barnett S Kramer. (2003) Randomized trials, generalizability, and meta-analysis: Graphical insights for binary outcomes. BMC Medical Research Methodology 3:1.
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Stuart G Baker & Barnett S Kramer. (2002) The transitive fallacy for randomized trials: If A bests B and B bests C in separate trials, is A better than C?. BMC Medical Research Methodology 2:1.
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Andrew Gelman, Boris Shor, Joseph Bafumi & David Park. (2005) Rich State, Poor State, Red State, Blue State: What's the Matter with Connecticut?. SSRN Electronic Journal.
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