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ipw: An R Package for Inverse Probability Weighting

Author

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  • van der Wal, Willem M.
  • Geskus, Ronald B.

Abstract

We describe the R package ipw for estimating inverse probability weights. We show how to use the package to fit marginal structural models through inverse probability weighting, to estimate causal effects. Our package can be used with data from a point treatment situation as well as with a time-varying exposure and time-varying confounders. It can be used with binomial, categorical, ordinal and continuous exposure variables.

Suggested Citation

  • van der Wal, Willem M. & Geskus, Ronald B., 2011. "ipw: An R Package for Inverse Probability Weighting," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i13).
  • Handle: RePEc:jss:jstsof:v:043:i13
    DOI: http://hdl.handle.net/10.18637/jss.v043.i13
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    Cited by:

    1. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Epidemiological Patterns of Cannabis- and Substance- Related Congenital Uronephrological Anomalies in Europe: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 19(21), pages 1-61, October.
    2. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 19(18), pages 1-51, September.
    3. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Epidemiology of Δ8THC-Related Carcinogenesis in USA: A Panel Regression and Causal Inferential Study," IJERPH, MDPI, vol. 19(13), pages 1-27, June.
    4. Ahmad Alamer & Charles Palm & Abdulaziz S. Almulhim & Charisse Te & Merri L. Pendergrass & Maryam T. Fazel, 2020. "Impact of Non-Tailored One-Way Automated Short Messaging Service (OASMS) on Glycemic Control in Type 2 Diabetes: A Retrospective Feasibility Study," IJERPH, MDPI, vol. 17(20), pages 1-10, October.
    5. Meyer, Maximilian & Hulke, Carolin & Kamwi, Jonathan & Kolem, Hannah & Börner, Jan, 2022. "Spatially heterogeneous effects of collective action on environmental dependence in Namibia’s Zambezi region," World Development, Elsevier, vol. 159(C).
    6. Waverly Wei & Maya Petersen & Mark J van der Laan & Zeyu Zheng & Chong Wu & Jingshen Wang, 2023. "Efficient targeted learning of heterogeneous treatment effects for multiple subgroups," Biometrics, The International Biometric Society, vol. 79(3), pages 1934-1946, September.
    7. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "Socioeconomic, Ethnocultural, Substance- and Cannabinoid-Related Epidemiology of Down Syndrome USA 1986–2016: Combined Geotemporospatial and Causal Inference Investigation," IJERPH, MDPI, vol. 19(20), pages 1-37, October.
    8. Andrea Ciccarelli & Elena Fabrizi & Eleonora Romano & Pietro Zoppoli, 2022. "Health, Well-Being and Work History Patterns: Insight on Territorial Differences," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 629-647, June.
    9. Meyer, Maximilian & Hulke, Carolin & Kamwi, Jonathan & Kolem, Hannah & Börner, Jan, 2021. "Spatially heterogeneous effects of collective action on environmental dependence in the Kavango-Zambezi Transfrontier Conservation Area," 2021 Conference, August 17-31, 2021, Virtual 315018, International Association of Agricultural Economists.
    10. Jan-Philip Steinmann & Hannes Kröger & Jörg Hartmann & Theresa M. Entringer, 2024. "Did Religious Well-Being Benefits Converge or Diverge During the Early Stages of the COVID-19 Pandemic in Germany?," Journal of Happiness Studies, Springer, vol. 25(7), pages 1-35, October.
    11. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Neurological Anomalies: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 20(1), pages 1-35, December.
    12. Stjepan Srhoj & Michal Lapinski & Janette Walde, 2021. "Impact evaluation of business development grants on SME performance," Small Business Economics, Springer, vol. 57(3), pages 1285-1301, October.
    13. Benedetta Pongiglione & Aleksandra Torbica, 2022. "How real can we get in generating real world evidence? Exploring the opportunities of routinely collected administrative data for evaluation of medical devices," Health Economics, John Wiley & Sons, Ltd., vol. 31(S1), pages 25-43, September.
    14. Bastien Bourrion & Cécile Souty & Lucie Fournier & Ana-Maria Vilcu & Thierry Blanchon & Pierre-Yves Böelle & Thomas Hanslik & Mathilde François, 2021. "Bisphosphonate Use and Hospitalization for Hip Fractures in Women: An Observational Population-Based Study in France," IJERPH, MDPI, vol. 18(16), pages 1-11, August.
    15. Maria Llistosella & Pere Castellvi & Andrea Miranda-Mendizabal & Silvia Recoder & Ester Calbo & Marc Casajuana-Closas & David Leiva & Rumen Manolov & Nuria Matilla-Santander & Carlos G. Forero, 2022. "Low Resilience Was a Risk Factor of Mental Health Problems during the COVID-19 Pandemic but Not in Individuals Exposed to COVID-19: A Cohort Study in Spanish Adult General Population," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    16. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "European Epidemiological Patterns of Cannabis- and Substance-Related Body Wall Congenital Anomalies: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 19(15), pages 1-38, July.
    17. Juraj Bodik, 2024. "Extreme Treatment Effect: Extrapolating Dose-Response Function into Extreme Treatment Domain," Mathematics, MDPI, vol. 12(10), pages 1-36, May.
    18. Kallus Nathan & Santacatterina Michele, 2021. "Optimal balancing of time-dependent confounders for marginal structural models," Journal of Causal Inference, De Gruyter, vol. 9(1), pages 345-369, January.
    19. Stjepan Srhoj & Michael Lapinski & Janette Walde, 2019. "Size matters? Impact evaluation of business development grants on SME performance," Working Papers 2019-14, Faculty of Economics and Statistics, Universität Innsbruck.
    20. Satyam Kumar & Yelleti Vivek & Vadlamani Ravi & Indranil Bose, 2023. "Causal Inference for Banking Finance and Insurance A Survey," Papers 2307.16427, arXiv.org.
    21. Javier Perez-Saez & María-Eugenia Zaballa & Julien Lamour & Sabine Yerly & Richard Dubos & Delphine S. Courvoisier & Jennifer Villers & Jean-François Balavoine & Didier Pittet & Omar Kherad & Nicolas , 2023. "Long term anti-SARS-CoV-2 antibody kinetics and correlate of protection against Omicron BA.1/BA.2 infection," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    22. Bartolucci, Francesco & Grilli, Leonardo & Pieroni, Luca, 2012. "Estimating dynamic causal effects with unobserved confounders: a latent class version of the inverse probability weighted estimator," MPRA Paper 43430, University Library of Munich, Germany.
    23. Albert Stuart Reece & Gary Kenneth Hulse, 2022. "State Trends of Cannabis Liberalization as a Causal Driver of Increasing Testicular Cancer Rates across the USA," IJERPH, MDPI, vol. 19(19), pages 1-37, October.
    24. Sebastian Daza & Alberto Palloni & Jerrett Jones, 2020. "The Consequences of Incarceration for Mortality in the United States," Demography, Springer;Population Association of America (PAA), vol. 57(2), pages 577-598, April.

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