IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v50y2000i1p89-95.html
   My bibliography  Save this article

Estimating future stage entry and occupation probabilities in a multistage model based on randomly right-censored data

Author

Listed:
  • Datta, Somnath
  • Satten, Glen A.

Abstract

A general multistage model is considered where all individuals start at a given initial stage at time zero. Based on randomly right-censored data, we provide both individual-specific and overall estimates of the probabilities of entry to a future stage. We also provide normalized estimators of the probability of occupying each stage as a function of time. These estimators are constructed using competing risks techniques but with risk sets consisting of fractional observations. The fractional observations correspond to estimates of the numbers of persons who ultimately enter each stage, based on the censored data.

Suggested Citation

  • Datta, Somnath & Satten, Glen A., 2000. "Estimating future stage entry and occupation probabilities in a multistage model based on randomly right-censored data," Statistics & Probability Letters, Elsevier, vol. 50(1), pages 89-95, October.
    • Handle: RePEc:eee:stapro:v:50:y:2000:i:1:p:89-95
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(00)00086-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Somnath Datta & Glen A. Satten, 2002. "Estimation of Integrated Transition Hazards and Stage Occupation Probabilities for Non-Markov Systems Under Dependent Censoring," Biometrics, The International Biometric Society, vol. 58(4), pages 792-802, December.
    2. Somnath Datta & Glen A. Satten & Susmita Datta, 2000. "Nonparametric Estimation for the Three-Stage Irreversible Illness–Death Model," Biometrics, The International Biometric Society, vol. 56(3), pages 841-847, September.
    3. Bandyopadhyay, Dipankar & Jácome, M. Amalia, 2016. "Comparing conditional survival functions with missing population marks in a competing risks model," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 150-160.

    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:eee:stapro:v:50:y:2000:i:1:p:89-95. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    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.