IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v58y2002i1p58-63.html
   My bibliography  Save this article

Testing for Dependence Between Failure Time and Visit Compliance with Interval-Censored Data

Author

Listed:
  • Rebecca A. Betensky
  • Dianne M. Finkelstein

Abstract

No abstract is available for this item.

Suggested Citation

  • Rebecca A. Betensky & Dianne M. Finkelstein, 2002. "Testing for Dependence Between Failure Time and Visit Compliance with Interval-Censored Data," Biometrics, The International Biometric Society, vol. 58(1), pages 58-63, March.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:1:p:58-63
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00058.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. Dianne M. Finkelstein & William B. Goggins & David A. Schoenfeld, 2002. "Analysis of Failure Time Data with Dependent Interval Censoring," Biometrics, The International Biometric Society, vol. 58(2), pages 298-304, June.
    2. Daniel Rabinowitz & Rebecca A. Betensky & Anastasios A. Tsiatis, 2000. "Using Conditional Logistic Regression to Fit Proportional Odds Models to Interval Censored Data," Biometrics, The International Biometric Society, vol. 56(2), pages 511-518, June.
    3. William B. Goggins & Dianne M. Finkelstein & Alan M. Zaslavsky, 1999. "Applying the Cox Proportional Hazards Model When the Change Time of a Binary Time-Varying Covariate Is Interval Censored," Biometrics, The International Biometric Society, vol. 55(2), pages 445-451, 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. Pantazis, Nikos & Kenward, Michael G. & Touloumi, Giota, 2013. "Performance of parametric survival models under non-random interval censoring: A simulation study," Computational Statistics & Data Analysis, Elsevier, vol. 63(C), pages 16-30.
    2. Ma, Ling & Hu, Tao & Sun, Jianguo, 2016. "Cox regression analysis of dependent interval-censored failure time data," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 79-90.
    3. Richard J. Cook & Leilei Zeng & Ker-Ai Lee, 2008. "A Multistate Model for Bivariate Interval-Censored Failure Time Data," Biometrics, The International Biometric Society, vol. 64(4), pages 1100-1109, December.
    4. Dianne M. Finkelstein & William B. Goggins & David A. Schoenfeld, 2002. "Analysis of Failure Time Data with Dependent Interval Censoring," Biometrics, The International Biometric Society, vol. 58(2), pages 298-304, June.

    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. Dianne M. Finkelstein & Rui Wang & Linda H. Ficociello & David A. Schoenfeld, 2010. "A Score Test for Association of a Longitudinal Marker and an Event with Missing Data," Biometrics, The International Biometric Society, vol. 66(3), pages 726-732, September.
    2. Pantazis, Nikos & Kenward, Michael G. & Touloumi, Giota, 2013. "Performance of parametric survival models under non-random interval censoring: A simulation study," Computational Statistics & Data Analysis, Elsevier, vol. 63(C), pages 16-30.
    3. repec:jss:jstsof:36:i02 is not listed on IDEAS
    4. Wang, Lianming & Lin, Xiaoyan, 2011. "A Bayesian approach for analyzing case 2 interval-censored data under the semiparametric proportional odds model," Statistics & Probability Letters, Elsevier, vol. 81(7), pages 876-883, July.
    5. Lianming Wang & David B. Dunson, 2011. "Semiparametric Bayes' Proportional Odds Models for Current Status Data with Underreporting," Biometrics, The International Biometric Society, vol. 67(3), pages 1111-1118, September.
    6. Anne Eaton & Yifei Sun & James Neaton & Xianghua Luo, 2022. "Nonparametric estimation in an illness‐death model with component‐wise censoring," Biometrics, The International Biometric Society, vol. 78(3), pages 1168-1180, September.
    7. Sapp Stephanie & van der Laan Mark J. & Page Kimberly, 2014. "Targeted Estimation of Binary Variable Importance Measures with Interval-Censored Outcomes," The International Journal of Biostatistics, De Gruyter, vol. 10(1), pages 77-97, May.
    8. Richard J. Cook & Leilei Zeng & Ker-Ai Lee, 2008. "A Multistate Model for Bivariate Interval-Censored Failure Time Data," Biometrics, The International Biometric Society, vol. 64(4), pages 1100-1109, December.
    9. Xifen Huang & Chaosong Xiong & Tao Jiang & Junfeng Lu & Jinfeng Xu, 2022. "Efficient Estimation and Inference in the Proportional Odds Model for Survival Data," Mathematics, MDPI, vol. 10(18), pages 1-17, September.
    10. 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.
    11. Chen, Baojiang & Zhou, Xiao-Hua, 2013. "A correlated random effects model for non-homogeneous Markov processes with nonignorable missingness," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 1-13.
    12. Ma, Ling & Hu, Tao & Sun, Jianguo, 2016. "Cox regression analysis of dependent interval-censored failure time data," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 79-90.
    13. Doug Morrison & Oliver Laeyendecker & Ron Brookmeyer, 2022. "Regression with interval‐censored covariates: Application to cross‐sectional incidence estimation," Biometrics, The International Biometric Society, vol. 78(3), pages 908-921, September.
    14. Stephanie Chan & Xuan Wang & Ina Jazić & Sarah Peskoe & Yingye Zheng & Tianxi Cai, 2021. "Developing and evaluating risk prediction models with panel current status data," Biometrics, The International Biometric Society, vol. 77(2), pages 599-609, June.
    15. William B. Goggins & Dianne M. Finkelstein, 2000. "A Proportional Hazards Model for Multivariate Interval-Censored Failure Time Data," Biometrics, The International Biometric Society, vol. 56(3), pages 940-943, September.
    16. Wang, Shuying & Wang, Chunjie & Wang, Peijie & Sun, Jianguo, 2020. "Estimation of the additive hazards model with case K interval-censored failure time data in the presence of informative censoring," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
    17. Lu Tian & Tianxi Cai, 2004. "On the Accelerated Failure Time Model for Current Status and Interval Censored Data," Harvard University Biostatistics Working Paper Series 1014, Berkeley Electronic Press.
    18. Angel G. Angelov & Magnus Ekström, 2019. "Maximum likelihood estimation for survey data with informative interval censoring," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(2), pages 217-236, June.
    19. Dianne M. Finkelstein & William B. Goggins & David A. Schoenfeld, 2002. "Analysis of Failure Time Data with Dependent Interval Censoring," Biometrics, The International Biometric Society, vol. 58(2), pages 298-304, June.
    20. Angel G. Angelov & Magnus Ekström, 2017. "Nonparametric estimation for self-selected interval data collected through a two-stage approach," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 80(4), pages 377-399, May.
    21. Lu Tian & Stephen Lagakos, 2006. "Analysis of a Partially Observed Binary Covariate Process and a Censored Failure Time in the Presence of Truncation and Competing Risks," Biometrics, The International Biometric Society, vol. 62(3), pages 821-828, September.

    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:58:y:2002:i:1:p:58-63. 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.