IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v58y2009i2p237-246.html
   My bibliography  Save this article

Using Bayesian p‐values in a 2 × 2 table of matched pairs with incompletely classified data

Author

Listed:
  • Yan Lin
  • Stuart Lipsitz
  • Debajyoti Sinha
  • Atul A. Gawande
  • Scott E. Regenbogen
  • Caprice C. Greenberg

Abstract

Summary. Altham proposed Bayesian p‐values for the analysis of a 2×2 contingency table that is formed from matched pairs. Using the same Bayesian perspective, we develop an extension of Altham's Bayesian p‐values to a 2×2 table from matched pairs with missing data that are missing at random. The approach is applied to a rater agreement study, in which two surgeon–reviewers rated whether or not there was a communication breakdown in malpractice cases. We also use a simulation study to explore the power and type I error rate of the Bayesian p‐values.

Suggested Citation

  • Yan Lin & Stuart Lipsitz & Debajyoti Sinha & Atul A. Gawande & Scott E. Regenbogen & Caprice C. Greenberg, 2009. "Using Bayesian p‐values in a 2 × 2 table of matched pairs with incompletely classified data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(2), pages 237-246, May.
  • Handle: RePEc:bla:jorssc:v:58:y:2009:i:2:p:237-246
    DOI: 10.1111/j.1467-9876.2008.00645.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9876.2008.00645.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1467-9876.2008.00645.x?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. D. Gokhale & B. Sirtonik, 1984. "On tests for correlated proportions in the presence of incomplete data," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 147-152, March.
    2. Quinn McNemar, 1947. "Note on the sampling error of the difference between correlated proportions or percentages," Psychometrika, Springer;The Psychometric Society, vol. 12(2), pages 153-157, June.
    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. Colette Mair & Sema Nickbakhsh & Richard Reeve & Jim McMenamin & Arlene Reynolds & Rory N Gunson & Pablo R Murcia & Louise Matthews, 2019. "Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-21, December.
    2. Li, Huiqiong & Tian, Guoliang & Tang, Niansheng & Cao, Hongyuan, 2018. "Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 69-81.
    3. Konietschke, F. & Harrar, S.W. & Lange, K. & Brunner, E., 2012. "Ranking procedures for matched pairs with missing data — Asymptotic theory and a small sample approximation," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1090-1102.
    4. P. M. E. Altham & Robin K. S. Hankin, 2010. "Using recently developed software on a 2×2 table of matched pairs with incompletely classified data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(2), pages 377-379, March.

    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. Uttam Bandyopadhyay & Atanu Biswas & Shirsendu Mukherjee, 2009. "Adaptive two-treatment two-period crossover design for binary treatment responses incorporating carry-over effects," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 13-33, March.
    2. Chacón, José E. & Fernández Serrano, Javier, 2024. "Bayesian taut splines for estimating the number of modes," Computational Statistics & Data Analysis, Elsevier, vol. 196(C).
    3. Wittkowski, Knut M., 2003. "Novel Methods for Multivariate Ordinal Data applied to Genetic Diplotypes, Genomic Pathways, Risk Profiles, and Pattern Similarity," MPRA Paper 4570, University Library of Munich, Germany.
    4. Sauter, Philipp A. & Mußhoff, Oliver & Möhring, Bernhard & Wilhelm, Stefan, 2016. "Faustmann vs. real options theory – An experimental investigation of foresters’ harvesting decisions," Journal of Forest Economics, Elsevier, vol. 24(C), pages 1-20.
    5. Citlali Calderon & Lorena Carrete & Jorge Vera-Martínez & María Esther Gloria-Quintero & María del Socorro Romero-Figueroa, 2021. "A Social Marketing Intervention to Improve Treatment Adherence in Patients with Type 1 Diabetes," IJERPH, MDPI, vol. 18(7), pages 1-14, March.
    6. Peter Cummings & Barbara McKnight, 2004. "Analysis of matched cohort data," Stata Journal, StataCorp LP, vol. 4(3), pages 274-281, September.
    7. Bester Tawona Mudereri & Elfatih M. Abdel-Rahman & Shepard Ndlela & Louisa Delfin Mutsa Makumbe & Christabel Chiedza Nyanga & Henri E. Z. Tonnang & Samira A. Mohamed, 2022. "Integrating the Strength of Multi-Date Sentinel-1 and -2 Datasets for Detecting Mango ( Mangifera indica L.) Orchards in a Semi-Arid Environment in Zimbabwe," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    8. Am鬩e Charles & Olivier Darn頍 & Jae H. Kim & Etienne Redor, 2016. "Stock exchange mergers and market efficiency," Applied Economics, Taylor & Francis Journals, vol. 48(7), pages 576-589, February.
    9. Nosi, Costanza & D’Agostino, Antonella & Pratesi, Carlo Alberto & Barbarossa, Camilla, 2021. "Evaluating a social marketing campaign on healthy nutrition and lifestyle among primary-school children: A mixed-method research design," Evaluation and Program Planning, Elsevier, vol. 89(C).
    10. Barigozzi, Matteo & Hallin, Marc, 2020. "Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals," Journal of Econometrics, Elsevier, vol. 216(1), pages 4-34.
    11. Md Saiful Islam & Md Sarowar Morshed & Gary J Young & Md Noor-E-Alam, 2019. "Robust policy evaluation from large-scale observational studies," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-19, October.
    12. John E. Core, 2010. "Discussion of Chief Executive Officer Equity Incentives and Accounting Irregularities," Journal of Accounting Research, Wiley Blackwell, vol. 48(2), pages 273-287, May.
    13. Hamza Zubair & Ampol Karoonsoontawong & Kunnawee Kanitpong, 2022. "Effects of COVID-19 on Travel Behavior and Mode Choice: A Case Study for the Bangkok Metropolitan Area," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
    14. Hemang Subramanian & Eric Overby, 2017. "Electronic Commerce, Spatial Arbitrage, and Market Efficiency," Information Systems Research, INFORMS, vol. 28(1), pages 97-116, March.
    15. Preety Srivastava & Xueyan Zhao, 2010. "What Do the Bingers Drink? Micro‐Unit Evidence on Negative Externalities and Drinker Characteristics of Alcohol Consumption by Beverage Types," Economic Papers, The Economic Society of Australia, vol. 29(2), pages 229-250, June.
    16. Hanousek Jan & Kočenda Evžen & Novotný Jan, 2012. "The identification of price jumps," Monte Carlo Methods and Applications, De Gruyter, vol. 18(1), pages 53-77, January.
    17. Sameer Parpia & John Koval & Allan Donner, 2013. "Evaluation of confidence intervals for the kappa statistic when the assumption of marginal homogeneity is violated," Computational Statistics, Springer, vol. 28(6), pages 2709-2718, December.
    18. Bianchi, Daniele & Babiak, Mykola, 2022. "On the performance of cryptocurrency funds," Journal of Banking & Finance, Elsevier, vol. 138(C).
    19. Nathan Robert Neale & Kenneth D. Butterfield & Jerry Goodstein & Thomas M. Tripp, 2020. "Managers’ Restorative Versus Punitive Responses to Employee Wrongdoing: A Qualitative Investigation," Journal of Business Ethics, Springer, vol. 161(3), pages 603-625, January.
    20. Monnery, Benjamin & Wolff, François-Charles & Henneguelle, Anaïs, 2020. "Prison, semi-liberty and recidivism: Bounding causal effects in a survival model," International Review of Law and Economics, Elsevier, vol. 61(C).

    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:jorssc:v:58:y:2009:i:2:p:237-246. 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: https://edirc.repec.org/data/rssssea.html .

    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.