IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v67y2011i4p1414-1421.html
   My bibliography  Save this article

Inference for Causal Interactions for Continuous Exposures under Dichotomization

Author

Listed:
  • Tyler J. VanderWeele
  • Yu Chen
  • Habibul Ahsan

Abstract

No abstract is available for this item.

Suggested Citation

  • Tyler J. VanderWeele & Yu Chen & Habibul Ahsan, 2011. "Inference for Causal Interactions for Continuous Exposures under Dichotomization," Biometrics, The International Biometric Society, vol. 67(4), pages 1414-1421, December.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:4:p:1414-1421
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01629.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arnab Maity & Raymond J. Carroll & Enno Mammen & Nilanjan Chatterjee, 2009. "Testing in semiparametric models with interaction, with applications to gene–environment interactions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(1), pages 75-96, January.
    2. Vansteelandt, Stijn & VanderWeele, Tyler J. & Tchetgen, Eric J. & Robins, James M., 2008. "Multiply Robust Inference for Statistical Interactions," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1693-1704.
    3. Paul Gustafson & Nhu D. Le, 2002. "Comparing the Effects of Continuous and Discrete Covariate Mismeasurement, with Emphasis on the Dichotomization of Mismeasured Predictors," Biometrics, The International Biometric Society, vol. 58(4), pages 878-887, December.
    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. Roland R. Ramsahai, 2013. "Probabilistic causality and detecting collections of interdependence patterns," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 705-723, September.

    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. Ryan Sun & Raymond J. Carroll & David C. Christiani & Xihong Lin, 2018. "Testing for gene–environment interaction under exposure misspecification," Biometrics, The International Biometric Society, vol. 74(2), pages 653-662, June.
    2. Donal O'Neill & Olive Sweetman, 2013. "Estimating Obesity Rates in Europe in the Presence of Self-Reporting Errors," Economics Department Working Paper Series n236-13.pdf, Department of Economics, National University of Ireland - Maynooth.
    3. Louis Anthony (Tony) Cox, Jr & Douglas A. Popken, 2008. "Overcoming Confirmation Bias in Causal Attribution: A Case Study of Antibiotic Resistance Risks," Risk Analysis, John Wiley & Sons, vol. 28(5), pages 1155-1172, October.
    4. VanderWeele Tyler J, 2010. "Attributable Fractions for Sufficient Cause Interactions," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-28, February.
    5. Igor Burstyn & Francesco Barone-Adesi & Frank de Vocht & Paul Gustafson, 2019. "What to Do When Accumulated Exposure Affects Health but Only Its Duration Was Measured? A Case of Linear Regression," IJERPH, MDPI, vol. 16(11), pages 1-16, May.
    6. Ting Ye & Ashkan Ertefaie & James Flory & Sean Hennessy & Dylan S. Small, 2023. "Instrumented difference‐in‐differences," Biometrics, The International Biometric Society, vol. 79(2), pages 569-581, June.
    7. Zihuai He & Min Zhang & Seunggeun Lee & Jennifer A. Smith & Sharon L. R. Kardia & V. Diez Roux & Bhramar Mukherjee, 2017. "Set-Based Tests for the Gene–Environment Interaction in Longitudinal Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 966-978, July.
    8. VanderWeele Tyler J, 2010. "Epistatic Interactions," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 9(1), pages 1-24, January.
    9. Yan Zhang, 2018. "Assessing Fair Lending Risks Using Race/Ethnicity Proxies," Management Science, INFORMS, vol. 64(1), pages 178-197, January.
    10. James Y. Dai & C. Jason Liang & Michael LeBlanc & Ross L. Prentice & Holly Janes, 2018. "Case†only approach to identifying markers predicting treatment effects on the relative risk scale," Biometrics, The International Biometric Society, vol. 74(2), pages 753-763, June.
    11. Karel Vermeulen & Stijn Vansteelandt, 2015. "Bias-Reduced Doubly Robust Estimation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 1024-1036, September.
    12. Colin O. Wu & Gang Zheng & Minjung Kwak, 2013. "A Joint Regression Analysis for Genetic Association Studies with Outcome Stratified Samples," Biometrics, The International Biometric Society, vol. 69(2), pages 417-426, June.
    13. Shuai Chen & Lu Tian & Tianxi Cai & Menggang Yu, 2017. "A general statistical framework for subgroup identification and comparative treatment scoring," Biometrics, The International Biometric Society, vol. 73(4), pages 1199-1209, December.
    14. Xiao Song & Edward C. Chao & Ching‐Yun Wang, 2023. "A smoothed corrected score approach for proportional hazards model with misclassified discretized covariates induced by error‐contaminated continuous time‐dependent exposure," Biometrics, The International Biometric Society, vol. 79(1), pages 437-448, March.
    15. Wei, Jiawei & Carroll, Raymond J. & Maity, Arnab, 2011. "Testing for constant nonparametric effects in general semiparametric regression models with interactions," Statistics & Probability Letters, Elsevier, vol. 81(7), pages 717-723, July.
    16. Stijn Vansteelandt & Oliver Dukes, 2022. "Assumption‐lean inference for generalised linear model parameters," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 657-685, July.
    17. Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2022. "Heterogeneous Employment Effects of Job Search Programs: A Machine Learning Approach," Journal of Human Resources, University of Wisconsin Press, vol. 57(2), pages 597-636.
    18. Peisong Han, 2016. "Combining Inverse Probability Weighting and Multiple Imputation to Improve Robustness of Estimation," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(1), pages 246-260, March.
    19. Eric J. Tchetgen Tchetgen & James Robins, 2010. "The Semiparametric Case-Only Estimator," Biometrics, The International Biometric Society, vol. 66(4), pages 1138-1144, December.
    20. Zhilan Lou & Jun Shao & Menggang Yu, 2018. "Optimal treatment assignment to maximize expected outcome with multiple treatments," Biometrics, The International Biometric Society, vol. 74(2), pages 506-516, June.

    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:67:y:2011:i:4:p:1414-1421. 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.