IDEAS home Printed from https://ideas.repec.org/a/bpj/ijbist/v17y2021i2p295-315n6.html
   My bibliography  Save this article

Effects of covariates on alternating recurrent events in accelerated failure time models

Author

Listed:
  • Chatterjee Moumita

    (Department of Mathematics and Statistics, Aliah University, IIA/27, New Town, Kolkata 700160, India)

  • Sen Roy Sugata

    (Department of Statistics, University of Calcutta, 35, Ballygunge Circular Road, Calcutta 700019, India)

Abstract

In this article, we model alternately occurring recurrent events and study the effects of covariates on each of the survival times. This is done through the accelerated failure time models, where we use lagged event times to capture the dependence over both the cycles and the two events. However, since the errors of the two regression models are likely to be correlated, we assume a bivariate error distribution. Since most event time distributions do not readily extend to bivariate forms, we take recourse to copula functions to build up the bivariate distributions from the marginals. The model parameters are then estimated using the maximum likelihood method and the properties of the estimators studied. A data on respiratory disease is used to illustrate the technique. A simulation study is also conducted to check for consistency.

Suggested Citation

  • Chatterjee Moumita & Sen Roy Sugata, 2021. "Effects of covariates on alternating recurrent events in accelerated failure time models," The International Journal of Biostatistics, De Gruyter, vol. 17(2), pages 295-315, November.
    • Handle: RePEc:bpj:ijbist:v:17:y:2021:i:2:p:295-315:n:6
    DOI: 10.1515/ijb-2019-0099
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/ijb-2019-0099
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/ijb-2019-0099?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.

    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:bpj:ijbist:v:17:y:2021:i:2:p:295-315:n:6. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.