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A New Criterion for Confounder Selection

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  • Tyler J. VanderWeele
  • Ilya Shpitser

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  • Tyler J. VanderWeele & Ilya Shpitser, 2011. "A New Criterion for Confounder Selection," Biometrics, The International Biometric Society, vol. 67(4), pages 1406-1413, December.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:4:p:1406-1413
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01619.x
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    References listed on IDEAS

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    1. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    1. Persson, Emma & Häggström, Jenny & Waernbaum, Ingeborg & de Luna, Xavier, 2017. "Data-driven algorithms for dimension reduction in causal inference," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 280-292.
    2. Jie Gao & Haiyan Qu & Keith M. McGregor & Amrej Singh Yadav & Hon K. Yuen, 2022. "Associations between Duration of Homelessness and Cardiovascular Risk Factors: A Pilot Study," IJERPH, MDPI, vol. 19(22), pages 1-10, November.
    3. Andreas Jensen & Per Kragh Andersen & John Sahl Andersen & Gorm Greisen & Lone Graff Stensballe, 2019. "Risk factors of post-discharge under-five mortality among Danish children 1997-2016: A register-based study," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-11, December.
    4. Thomas S. Richardson & James M. Robins & Linbo Wang, 2018. "Discussion of “Data†driven confounder selection via Markov and Bayesian networks†by Häggström," Biometrics, The International Biometric Society, vol. 74(2), pages 403-406, June.
    5. Edward H. Kennedy & Sivaraman Balakrishnan, 2018. "Discussion of “Data†driven confounder selection via Markov and Bayesian networks†by Jenny Häggström," Biometrics, The International Biometric Society, vol. 74(2), pages 399-402, June.
    6. Riccardo Vecchio & Eva Parga-Dans & Pablo Alonso González & Azzurra Annunziata, 2021. "Why consumers drink natural wine? Consumer perception and information about natural wine," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-16, December.
    7. Matthew Cefalu & Francesca Dominici & Nils Arvold & Giovanni Parmigiani, 2017. "Model averaged double robust estimation," Biometrics, The International Biometric Society, vol. 73(2), pages 410-421, June.
    8. Yongnam Kim, 2019. "The Causal Structure of Suppressor Variables," Journal of Educational and Behavioral Statistics, , vol. 44(4), pages 367-389, August.
    9. David Bartram, 2021. "Cross-Sectional Model-Building for Research on Subjective Well-Being: Gaining Clarity on Control Variables," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 725-743, June.
    10. Anna Zaytseva & Pierre Verger & Bruno Ventelou, 2023. "Better together? A mediation analysis of general practitioners' performance in multi-professional group practice," AMSE Working Papers 2325, Aix-Marseille School of Economics, France.
    11. Tingting Zhou & Michael R. Elliott & Roderick J. A. Little, 2021. "Robust Causal Estimation from Observational Studies Using Penalized Spline of Propensity Score for Treatment Comparison," Stats, MDPI, vol. 4(2), pages 1-21, June.
    12. Leonard Henckel & Emilija Perković & Marloes H. Maathuis, 2022. "Graphical criteria for efficient total effect estimation via adjustment in causal linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 579-599, April.
    13. Sara S. Nozadi & Li Li & Li Luo & Debra MacKenzie & Esther Erdei & Ruofei Du & Carolyn W. Roman & Joseph Hoover & Elena O’Donald & Courtney Burnette & Johnnye Lewis, 2021. "Prenatal Metal Exposures and Infants’ Developmental Outcomes in a Navajo Population," IJERPH, MDPI, vol. 19(1), pages 1-24, December.
    14. Lefebvre, Geneviève & Atherton, Juli & Talbot, Denis, 2014. "The effect of the prior distribution in the Bayesian Adjustment for Confounding algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 227-240.
    15. Brandon Koch & David M. Vock & Julian Wolfson, 2018. "Covariate selection with group lasso and doubly robust estimation of causal effects," Biometrics, The International Biometric Society, vol. 74(1), pages 8-17, March.
    16. Robert P Kosilek & Sebastian E Baumeister & Till Ittermann & Matthias Gründling & Frank M Brunkhorst & Stephan B Felix & Peter Abel & Sigrun Friesecke & Christian Apfelbacher & Magdalena Brandl & Konr, 2019. "The association of intensive care with utilization and costs of outpatient healthcare services and quality of life," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-15, September.
    17. Jenny Häggström, 2018. "Data†driven confounder selection via Markov and Bayesian networks," Biometrics, The International Biometric Society, vol. 74(2), pages 389-398, June.
    18. Eric TC Lai & Ruby Yu & Jean Woo, 2020. "The Associations of Income, Education and Income Inequality and Subjective Well-Being among Elderly in Hong Kong—A Multilevel Analysis," IJERPH, MDPI, vol. 17(4), pages 1-14, February.
    19. Carolina Perez-Heydrich & Michael G. Hudgens & M. Elizabeth Halloran & John D. Clemens & Mohammad Ali & Michael E. Emch, 2014. "Assessing effects of cholera vaccination in the presence of interference," Biometrics, The International Biometric Society, vol. 70(3), pages 731-741, September.
    20. Agboola, Oluwagbenga David & Yu, Han, 2023. "Neighborhood-based cross fitting approach to treatment effects with high-dimensional data," Computational Statistics & Data Analysis, Elsevier, vol. 186(C).
    21. Xun Lu, 2015. "A Covariate Selection Criterion for Estimation of Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 506-522, October.
    22. Contreras, Hugo Alejandro & Candia, Cristian & Olchevskaia, Rodrigo Vladislav Troncoso & Ferres, Leo & Celedón, María Loreto Bravo & Lepri, Bruno & Rodriguez-Sickert, Carlos, 2023. "Linking Physical Violence to Women's Mobility in Chile," SocArXiv uad59, Center for Open Science.
    23. Sean Yiu & Li Su, 2018. "Covariate association eliminating weights: a unified weighting framework for causal effect estimation," Biometrika, Biometrika Trust, vol. 105(3), pages 709-722.
    24. Rajgopal, Shivaram & White, Roger, 2019. "Cheating when in the hole: The case of New York city taxis," Accounting, Organizations and Society, Elsevier, vol. 79(C).
    25. Joseph Antonelli & Matthew Cefalu & Nathan Palmer & Denis Agniel, 2018. "Doubly robust matching estimators for high dimensional confounding adjustment," Biometrics, The International Biometric Society, vol. 74(4), pages 1171-1179, December.

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