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Penalized Spline of Propensity Methods for Treatment Comparison: Rejoinder

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  • Tingting Zhou
  • Michael R. Elliott
  • Roderick J. A. Little

Abstract

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  • Tingting Zhou & Michael R. Elliott & Roderick J. A. Little, 2019. "Penalized Spline of Propensity Methods for Treatment Comparison: Rejoinder," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(525), pages 35-38, January.
    • Handle: RePEc:taf:jnlasa:v:114:y:2019:i:525:p:35-38
    DOI: 10.1080/01621459.2019.1576439
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    Citations

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    Cited by:

    1. Ray Chambers & Setareh Ranjbar & Nicola Salvati & Barbara Pacini, 2022. "Weighting, informativeness and causal inference, with an application to rainfall enhancement," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1584-1612, October.
    2. 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.
    3. Davide Viviano & Jelena Bradic, 2021. "Dynamic covariate balancing: estimating treatment effects over time with potential local projections," Papers 2103.01280, arXiv.org, revised Jan 2024.
    4. Antonio R. Linero, 2023. "Prior and posterior checking of implicit causal assumptions," Biometrics, The International Biometric Society, vol. 79(4), pages 3153-3164, December.
    5. Brian J. Reich & Shu Yang & Yawen Guan, 2022. "Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin," Biometrics, The International Biometric Society, vol. 78(4), pages 1291-1294, December.
    6. Ao Yuan & Anqi Yin & Ming T. Tan, 2021. "Enhanced Doubly Robust Procedure for Causal Inference," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(3), pages 454-478, December.
    7. Tingting Zhou & Michael R. Elliott & Roderick J. A. Little, 2022. "Addressing Disparities in the Propensity Score Distributions for Treatment Comparisons from Observational Studies," Stats, MDPI, vol. 5(4), pages 1-17, December.
    8. Maria Josefsson & Michael J. Daniels, 2021. "Bayesian semi‐parametric G‐computation for causal inference in a cohort study with MNAR dropout and death," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(2), pages 398-414, March.

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