IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v77y2021i4p1160-1164.html
   My bibliography  Save this article

Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang

Author

Listed:
  • Mats J. Stensrud
  • Jessica G. Young
  • Torben Martinussen

Abstract

No abstract is available for this item.

Suggested Citation

  • Mats J. Stensrud & Jessica G. Young & Torben Martinussen, 2021. "Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang," Biometrics, The International Biometric Society, vol. 77(4), pages 1160-1164, December.
  • Handle: RePEc:bla:biomet:v:77:y:2021:i:4:p:1160-1164
    DOI: 10.1111/biom.13523
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/biom.13523
    Download Restriction: no

    File URL: https://libkey.io/10.1111/biom.13523?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Vanessa Didelez, 2019. "Defining causal mediation with a longitudinal mediator and a survival outcome," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(4), pages 593-610, October.
    2. Tyler J. VanderWeele & Eric J. Tchetgen Tchetgen, 2017. "Mediation analysis with time varying exposures and mediators," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 917-938, June.
    3. J. P. Fine, 1999. "Analysing competing risks data with transformation models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(4), pages 817-830.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yen‐Tsung Huang, 2021. "Rejoinder to “Causal mediation of semicompeting risks”," Biometrics, The International Biometric Society, vol. 77(4), pages 1170-1174, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shuxi Zeng & Elizabeth C. Lange & Elizabeth A. Archie & Fernando A. Campos & Susan C. Alberts & Fan Li, 2023. "A Causal Mediation Model for Longitudinal Mediators and Survival Outcomes with an Application to Animal Behavior," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(2), pages 197-218, June.
    2. Cai Xiaoxuan & Loh Wen Wei & Crawford Forrest W., 2021. "Identification of causal intervention effects under contagion," Journal of Causal Inference, De Gruyter, vol. 9(1), pages 9-38, January.
    3. Kara E. Rudolph & Jonathan Levy & Mark J. van der Laan, 2021. "Transporting stochastic direct and indirect effects to new populations," Biometrics, The International Biometric Society, vol. 77(1), pages 197-211, March.
    4. Bijlsma, Maarten J. & Wilson, Ben, 2020. "Modelling the socio-economic determinants of fertility: a mediation analysis using the parametric g-formula," LSE Research Online Documents on Economics 102414, London School of Economics and Political Science, LSE Library.
    5. Cheng Zheng & Lei Liu, 2022. "Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach," Biometrics, The International Biometric Society, vol. 78(3), pages 1233-1243, September.
    6. David G. Lugo‐Palacios & Jonathan M. Clarke & Søren Rud Kristensen, 2023. "Back to basics: A mediation analysis approach to addressing the fundamental questions of integrated care evaluations," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2080-2097, September.
    7. Díaz Iván & Williams Nicholas & Rudolph Kara E., 2023. "Efficient and flexible mediation analysis with time-varying mediators, treatments, and confounders," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-17, January.
    8. Wen Wei Loh & Beatrijs Moerkerke & Tom Loeys & Stijn Vansteelandt, 2022. "Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown," Biometrics, The International Biometric Society, vol. 78(1), pages 46-59, March.
    9. Kara E. Rudolph & Iván Díaz, 2022. "When the ends do not justify the means: Learning who is predicted to have harmful indirect effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 573-589, December.
    10. Tomi Kyyrä, 2009. "Marginal Effects for Competing Risks Models with Piecewise Constant Hazards," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 539-565, August.
    11. Jianbo Li & Minggao Gu & Tao Hu, 2012. "General partially linear varying-coefficient transformation models for ranking data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(7), pages 1475-1488, January.
    12. Hu, Tao & Xiang, Liming, 2016. "Partially linear transformation cure models for interval-censored data," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 257-269.
    13. Lin, Cunjie & Zhou, Yong, 2014. "Analyzing right-censored and length-biased data with varying-coefficient transformation model," Journal of Multivariate Analysis, Elsevier, vol. 130(C), pages 45-63.
    14. Yayuan Zhu & Ziqi Chen & Jerald F. Lawless, 2022. "Semiparametric analysis of interval‐censored failure time data with outcome‐dependent observation schemes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 236-264, March.
    15. Chia-Hui Huang, 2019. "Mixture regression models for the gap time distributions and illness–death processes," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(1), pages 168-188, January.
    16. Kyyrä, Tomi, 2007. "Studies on Wage Differentials and Labour Market Transitions," Research Reports 133, VATT Institute for Economic Research.
    17. Ørnulf Borgan & Håkon K. Gjessing, 2019. "Special issue dedicated to Odd O. Aalen," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(4), pages 587-592, October.
    18. Alessandro Magrini, 2022. "Mediation analysis in recursive systems of distributed-lag linear regressions," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1535-1555, June.
    19. Annabelle Bédard & Zhen Li & Wassila Ait-hadad & Carlos A. Camargo & Bénédicte Leynaert & Christophe Pison & Orianne Dumas & Raphaëlle Varraso, 2021. "The Role of Nutritional Factors in Asthma: Challenges and Opportunities for Epidemiological Research," IJERPH, MDPI, vol. 18(6), pages 1-20, March.
    20. Rubino, Claudio & Di Maria, Chiara & Abbruzzo, Antonino & Ferrante, Mauro, 2022. "Socio-economic inequality, interregional mobility and mortality among cancer patients: A mediation analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:77:y:2021:i:4:p:1160-1164. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.