IDEAS home Printed from https://ideas.repec.org/a/spr/stmapp/v34y2025i1d10.1007_s10260-024-00771-z.html
   My bibliography  Save this article

An optimal exact interval for risk difference in 2 $$\times$$ × 2 contingency tables with structural zeros

Author

Listed:
  • Xingyun Cao

    (Beijing University of Technology)

  • Weizhen Wang

    (Wright State University)

  • Tianfa Xie

    (Beijing University of Technology)

Abstract

In studies involving infectious diseases or two-step treatment research, the 2 $$\times$$ × 2 contingency table with a structural zero serves as a common framework for data collection. In biomedical studies and related fields, inferring the risk differences through confidence intervals is of significant importance. However, the reliability of approximate intervals based on asymptotic normality is questionable, particularly in small samples. This paper aims to address this limitation by proposing exact intervals for the risk difference, enhancing both reliability and precision. Initially, a novel interval is introduced using the restricted most probable method, which is then optimized via the h-function method to create an optimal exact interval. A comparative analysis is conducted, contrasting this proposed interval with others derived from methods such as the score method, inferential model method, and modified inferential model method. Numerical studies demonstrate the superiority of the proposed interval in terms of both infimum coverage probability and total interval length. Additionally, two illustrative examples are provided to demonstrate the practical application of this interval in real-world scenarios.

Suggested Citation

  • Xingyun Cao & Weizhen Wang & Tianfa Xie, 2025. "An optimal exact interval for risk difference in 2 $$\times$$ × 2 contingency tables with structural zeros," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 34(1), pages 155-170, March.
  • Handle: RePEc:spr:stmapp:v:34:y:2025:i:1:d:10.1007_s10260-024-00771-z
    DOI: 10.1007/s10260-024-00771-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10260-024-00771-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10260-024-00771-z?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
    ---><---

    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. Ryan Martin & Chuanhai Liu, 2013. "Inferential Models: A Framework for Prior-Free Posterior Probabilistic Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(501), pages 301-313, March.
    2. Man-Lai Tang & Nian-Sheng Tang & Vincent J. Carey, 2004. "Confidence Interval for Rate Ratio in a 2 × 2 Table with Structural Zero: An Application in Assessing False-Negative Rate Ratio When Combining Two Diagnostic Tests," Biometrics, The International Biometric Society, vol. 60(2), pages 550-555, June.
    3. Wang, Shun-Fang & Tang, Nian-Sheng & Wang, Xue-Ren, 2006. "Analysis of the risk difference of marginal and conditional probabilities in an incomplete correlated 2x2 table," Computational Statistics & Data Analysis, Elsevier, vol. 50(6), pages 1597-1614, March.
    Full references (including those not matched with items on IDEAS)

    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. Shun-Fang Wang & Xue-Ren Wang, 2013. "Statistical inference of risk ratio in a correlated $$2 \times 2$$ table with structural zero," Computational Statistics, Springer, vol. 28(4), pages 1599-1615, August.
    2. David R. Bickel, 2024. "Bayesian and frequentist inference derived from the maximum entropy principle with applications to propagating uncertainty about statistical methods," Statistical Papers, Springer, vol. 65(8), pages 5389-5407, October.
    3. Hezhi Lu & Fengjing Cai & Yuan Li & Xionghui Ou, 2022. "Accurate interval estimation for the risk difference in an incomplete correlated 2 × 2 table: Calf immunity analysis," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-23, July.
    4. Peng Bai & Wen Gan & Lei Shi, 2011. "Bayesian confidence interval for the risk ratio in a correlated 2 × 2 table with structural zero," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2805-2817, February.
    5. Chris J. Lloyd, 2008. "A New Exact and More Powerful Unconditional Test of No Treatment Effect from Binary Matched Pairs," Biometrics, The International Biometric Society, vol. 64(3), pages 716-723, September.
    6. Randy C. S. Lai & Jan Hannig & Thomas C. M. Lee, 2015. "Generalized Fiducial Inference for Ultrahigh-Dimensional Regression," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(510), pages 760-772, June.
    7. Ryan Martin, 2024. "A Possibility-Theoretic Solution to Basu’s Bayesian–Frequentist Via Media," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 86(1), pages 43-70, November.
    8. Jingsen Kong & Hezhi Lu, 2024. "Comparing the variances of several treatments with that of a control treatment: Theory and applications," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-16, January.
    9. Xuhua Liu & Xingzhong Xu, 2016. "Confidence distribution inferences in one-way random effects model," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 59-74, March.
    10. Eugenio Melilli & Piero Veronese, 2024. "Confidence distributions and hypothesis testing," Statistical Papers, Springer, vol. 65(6), pages 3789-3820, August.
    11. Jin, Hua & Li, Song & Jin, Yaolan, 2016. "The IM-based method for testing the non-inferiority of odds ratio in matched-pairs design," Statistics & Probability Letters, Elsevier, vol. 109(C), pages 145-151.
    12. Gupta, Ramesh C. & Tian, Suzhong, 2007. "Statistical inference for the risk ratio in 2x2 binomial trials with structural zero," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3070-3084, March.
    13. Kung-Jong Lui, 2004. "The author replied as follows:," Biometrics, The International Biometric Society, vol. 60(2), pages 555-555, June.
    14. Piero Veronese & Eugenio Melilli, 2015. "Fiducial and Confidence Distributions for Real Exponential Families," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(2), pages 471-484, June.
    15. Dungang Liu & Regina Y. Liu & Minge Xie, 2015. "Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 326-340, March.
    16. Lei Shi & Hongyuan Sun & Peng Bai, 2009. "Bayesian confidence interval for difference of the proportions in a 2×2 table with structural zero," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(5), pages 483-494.
    17. Michael P. Fay & Michael A. Proschan & Erica Brittain, 2015. "Combining one-sample confidence procedures for inference in the two-sample case," Biometrics, The International Biometric Society, vol. 71(1), pages 146-156, March.

    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:spr:stmapp:v:34:y:2025:i:1:d:10.1007_s10260-024-00771-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.