IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v56y2000i3p667-677.html
   My bibliography  Save this article

Modeling Repeated Count Data Subject to Informative Dropout

Author

Listed:
  • Paul S. Albert
  • Dean A. Follmann

Abstract

No abstract is available for this item.

Suggested Citation

  • Paul S. Albert & Dean A. Follmann, 2000. "Modeling Repeated Count Data Subject to Informative Dropout," Biometrics, The International Biometric Society, vol. 56(3), pages 667-677, September.
    • Handle: RePEc:bla:biomet:v:56:y:2000:i:3:p:667-677
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2000.00667.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.

    Citations

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


    Cited by:

    1. Nanhua Zhang & Henian Chen & Yuanshu Zou, 2014. "A joint model of binary and longitudinal data with non-ignorable missingness, with application to marital stress and late-life major depression in women," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(5), pages 1028-1039, May.
    2. Joseph W. Hogan & Xihong Lin & Benjamin Herman, 2004. "Mixtures of Varying Coefficient Models for Longitudinal Data with Discrete or Continuous Nonignorable Dropout," Biometrics, The International Biometric Society, vol. 60(4), pages 854-864, December.
    3. Ying Yuan & Roderick J. A. Little, 2009. "Meta-Analysis of Studies with Missing Data," Biometrics, The International Biometric Society, vol. 65(2), pages 487-496, June.
    4. Jaeun Choi & Donglin Zeng & Andrew F. Olshan & Jianwen Cai, 2018. "Joint modeling of survival time and longitudinal outcomes with flexible random effects," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 24(1), pages 126-152, January.
    5. David Todem & KyungMann Kim & Jason Fine & Limin Peng, 2010. "Semiparametric regression models and sensitivity analysis of longitudinal data with non‐random dropouts," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(2), pages 133-156, May.
    6. Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 128(2), pages 301-323, October.
    7. Niko A. Kaciroti & Trivellore E. Raghunathan & M. Anthony Schork & Noreen M. Clark, 2008. "A Bayesian model for longitudinal count data with non‐ignorable dropout," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(5), pages 521-534, December.
    8. Cho, S.-J. & Rabe-Hesketh, S., 2011. "Alternating imputation posterior estimation of models with crossed random effects," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 12-25, January.
    9. Anders Skrondal & Jouni Kuha, 2012. "Improved Regression Calibration," Psychometrika, Springer;The Psychometric Society, vol. 77(4), pages 649-669, October.
    10. Ngobo, Paul Valentin, 2011. "What Drives Household Choice of Organic Products in Grocery Stores?," Journal of Retailing, Elsevier, vol. 87(1), pages 90-100.
    11. Jaeun Choi & Jianwen Cai & Donglin Zeng, 2017. "Penalized Likelihood Approach for Simultaneous Analysis of Survival Time and Binary Longitudinal Outcome," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 79(2), pages 190-216, November.
    12. Paul S. Albert & Dean A. Follmann & Shaohua A. Wang & Edward B. Suh, 2002. "A Latent Autoregressive Model for Longitudinal Binary Data Subject to Informative Missingness," Biometrics, The International Biometric Society, vol. 58(3), pages 631-642, September.
    13. Paul Valentin Ngobo, 2017. "The trajectory of customer loyalty: an empirical test of Dick and Basu’s loyalty framework," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 229-250, March.
    14. D. Todem & J. Fine & L. Peng, 2010. "A Global Sensitivity Test for Evaluating Statistical Hypotheses with Nonidentifiable Models," Biometrics, The International Biometric Society, vol. 66(2), pages 558-566, June.
    15. Lei Xu & Jun Shao, 2009. "Estimation in Longitudinal or Panel Data Models with Random-Effect-Based Missing Responses," Biometrics, The International Biometric Society, vol. 65(4), pages 1175-1183, December.
    16. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2002. "Reliable estimation of generalized linear mixed models using adaptive quadrature," Stata Journal, StataCorp LP, vol. 2(1), pages 1-21, February.
    17. Yi, Fengting & Tang, Niansheng & Sun, Jianguo, 2020. "Regression analysis of interval-censored failure time data with time-dependent covariates," Computational Statistics & Data Analysis, Elsevier, vol. 144(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:biomet:v:56:y:2000:i:3:p:667-677. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.