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Multiple-test procedures and smile plots

Author

Listed:
  • Roger Newson

    (King's College London)

  • The ALSPAC Study Team

    (University of Bristol)

Abstract

multproc carries out multiple-test procedures, taking as input a list of p-values and an uncorrected critical p-value, and calculating a corrected overall critical pvalue for rejection of null hypotheses. These procedures define a conÞdence region for a set-valued parameter, namely the set of null hypotheses that are true. They aim to control either the family-wise error rate (FWER) or the false discovery rate (FDR) at a level no greater than the uncorrected critical p-value. smileplot calls multproc and then creates a smile plot, with data points corresponding to estimated parameters, the p-values (on a reverse log scale) on the y-axis, and the parameter estimates (or another variable) on the x-axis. There are y-axis reference lines at the uncorrected and corrected overall critical p-values. The reference line for the corrected overall critical p-value, known as the parapet line, is an informal Òupper confidence limitÓ for the set of null hypotheses that are true and defines a boundary between data mining and data dredging. A smile plot summarizes a set of multiple analyses just as a Cochrane forest plot summarizes a meta-analysis. Copyright 2003 by Stata Corporation.

Suggested Citation

  • Roger Newson & The ALSPAC Study Team, 2003. "Multiple-test procedures and smile plots," Stata Journal, StataCorp LLC, vol. 3(2), pages 109-132, June.
    • Handle: RePEc:tsj:stataj:v:3:y:2003:i:2:p:109-132
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    References listed on IDEAS

    as
    1. Roger Newson, 2000. "A program for saving a model fit as a dataset," Stata Technical Bulletin, StataCorp LLC, vol. 9(49).
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    Cited by:

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    2. Michael J. Kottelenberg & Steven F. Lehrer, 2017. "Targeted or Universal Coverage? Assessing Heterogeneity in the Effects of Universal Child Care," Journal of Labor Economics, University of Chicago Press, vol. 35(3), pages 609-653.
    3. Elisa M. Maffioli, 2023. "The local health impacts of natural resource booms," Health Economics, John Wiley & Sons, Ltd., vol. 32(2), pages 462-500, February.
    4. Böhme, Marcus H. & Persian, Ruth & Stöhr, Tobias, 2015. "Alone but better off? Adult child migration and health of elderly parents in Moldova," Journal of Health Economics, Elsevier, vol. 39(C), pages 211-227.
    5. Hofmann, Sarah & Mühlenweg, Andrea, 2018. "Learning intensity effects in students’ mental and physical health – Evidence from a large scale natural experiment in Germany," Economics of Education Review, Elsevier, vol. 67(C), pages 216-234.
    6. Bell, Suzanne & Prata, Ndola & Lahiff, Maureen & Eskenazi, Brenda, 2012. "Civil unrest and birthweight: An exploratory analysis of the 2007/2008 Kenyan Crisis," Social Science & Medicine, Elsevier, vol. 74(9), pages 1324-1330.
    7. Roger M. Harbord & Julian P.T. Higgins, 2008. "Meta-regression in Stata," Stata Journal, StataCorp LLC, vol. 8(4), pages 493-519, December.
    8. Nancy L Czaicki & William H Dow & Prosper F Njau & Sandra I McCoy, 2018. "Do incentives undermine intrinsic motivation? Increases in intrinsic motivation within an incentive-based intervention for people living with HIV in Tanzania," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-15, June.
    9. Gisselquist, Rachel M. & Leiderer, Stefan & Niño-Zarazúa, Miguel, 2016. "Ethnic Heterogeneity and Public Goods Provision in Zambia: Evidence of a Subnational “Diversity Dividend”," World Development, Elsevier, vol. 78(C), pages 308-323.
    10. G�nther Fink & Margaret McConnell & Sebastian Vollmer, 2014. "Testing for heterogeneous treatment effects in experimental data: false discovery risks and correction procedures," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(1), pages 44-57, January.
    11. Dunsch, Felipe A. & Evans, David K. & Eze-Ajoku, Ezinne & Macis, Mario, 2017. "Management, Supervision, and Health Care: A Field Experiment," IZA Discussion Papers 10967, Institute of Labor Economics (IZA).
    12. Lynch, John & Meunier, Aurélie & Pilkington, Rhiannon & Schurer, Stefanie, 2019. "Baby Bonuses and Early-Life Health Outcomes: Using Regression Discontinuity to Evaluate the Causal Impact of an Unconditional Cash Transfer," IZA Discussion Papers 12230, Institute of Labor Economics (IZA).
    13. Roger B. Newson, 2010. "Frequentist q-values for multiple-test procedures," Stata Journal, StataCorp LLC, vol. 10(4), pages 568-584, December.
    14. Rodriguez-Justicia, David & Theilen, Bernd, 2018. "Education and tax morale," Journal of Economic Psychology, Elsevier, vol. 64(C), pages 18-48.
    15. Roger Newson, 2008. "parmest and extensions," United Kingdom Stata Users' Group Meetings 2008 07, Stata Users Group.
    16. Roger B. Newson, 2013. "Bonferroni and Holm approximations for Sidak and Holland–Copenhaver q-values," Stata Journal, StataCorp LLC, vol. 13(2), pages 379-381, June.

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