IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v55y2006i4p477-491.html
   My bibliography  Save this article

Analysis of functional status transitions by using a semi‐Markov process model in the presence of left‐censored spells

Author

Listed:
  • Liming Cai
  • Nathaniel Schenker
  • James Lubitz

Abstract

Summary. To analyse functional status transitions in the older population better, we fit a semi‐Markov process model to data from the 1992–2002 Medicare Current Beneficiary Survey. We used an analogue of the stochastic EM algorithm to address the problem of left censoring of spells in longitudinal data. The iterative algorithm converged robustly under various initial values for the unobserved elapsed durations of spells in progress at base‐line. Results on life expectancy and recovery from functional limitations based on the semi‐Markov process model differ from those based on the traditional multistate life‐table method. The proposed treatment of left‐censored spells has the potential to expand the modelling capability that is available to researchers in fields where left censoring is a concern.

Suggested Citation

  • Liming Cai & Nathaniel Schenker & James Lubitz, 2006. "Analysis of functional status transitions by using a semi‐Markov process model in the presence of left‐censored spells," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(4), pages 477-491, August.
    • Handle: RePEc:bla:jorssc:v:55:y:2006:i:4:p:477-491
    DOI: 10.1111/j.1467-9876.2006.00548.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9876.2006.00548.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-9876.2006.00548.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
    ---><---

    Citations

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


    Cited by:

    1. Wouterse, B. & Meijboom, B.R. & Polder, J.J., 2011. "The relationship between baseline health and longitudinal costs of hospital use," Other publications TiSEM bdedc33c-9737-4bfc-beee-0, Tilburg University, School of Economics and Management.
    2. Douglas A. Wolf & Thomas M. Gill, 2008. "Fitting Event-History Models to Uneventful Data," Center for Policy Research Working Papers 101, Center for Policy Research, Maxwell School, Syracuse University.
    3. Ardo Van Den Hout & Carol Jagger & Fiona E. Matthews, 2009. "Estimating life expectancy in health and ill health by using a hidden Markov model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 449-465, September.
    4. Douglas Wolf & Thomas Gill, 2009. "Modeling transition rates using panel current-status data: How serious is the bias?," Demography, Springer;Population Association of America (PAA), vol. 46(2), pages 371-386, May.
    5. Liming Cai & Mark D. Hayward & Yasuhiko Saito & James Lubitz & Aaron Hagedorn & Eileen Crimmins, 2010. "Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(6), pages 129-158.
    6. Marco Raffaella Piccarreta & Marco Bonetti & Stefano Lombardi, 2018. "Comparing models for sequence data: prediction and dissimilarities," Working Papers 113, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    7. Scott Lynch & J. Brown, 2010. "Obtaining multistate life table distributions for highly refined subpopulations from cross-sectional data: A bayesian extension of sullivan’s method," Demography, Springer;Population Association of America (PAA), vol. 47(4), pages 1053-1077, November.
    8. Frans Willekens & Hein Putter, 2014. "Software for multistate analysis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(14), pages 381-420.
    9. Bram Wouterse & Bert R. Meijboom & Johan J. Polder, 2011. "The relationship between baseline health and longitudinal costs of hospital use," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 985-1008, August.

    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:55:y:2006:i:4:p:477-491. 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: 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.