IDEAS home Printed from https://ideas.repec.org/a/spr/metrik/v86y2023i4d10.1007_s00184-022-00882-1.html
   My bibliography  Save this article

A note on the partial likelihood estimator of the proportional hazards model for combined incident and prevalent cohort data

Author

Listed:
  • James H. McVittie

    (University of Regina)

  • David B. Wolfson

    (McGill University)

  • David A. Stephens

    (McGill University)

Abstract

The proportional hazards model has been well studied in the literature for estimating the effect of covariate data on the failure time hazard rate. This model is routinely applied to right-censored incident cohort failure time data as well as left-truncated right-censored failure time data obtained from a prevalent cohort study with follow-up. In a meta-analysis or complex study design, data from both incident cohort and prevalent cohort studies with follow-up may be available. We compare two partial likelihood estimation approaches for the covariate effects using combined incident and prevalent cohort data under the proportional hazards model. We validate the partial likelihood methods through the concept of ancillarity and utilize simulated cohort data to compare the two procedures.

Suggested Citation

  • James H. McVittie & David B. Wolfson & David A. Stephens, 2023. "A note on the partial likelihood estimator of the proportional hazards model for combined incident and prevalent cohort data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 86(4), pages 487-497, May.
    • Handle: RePEc:spr:metrik:v:86:y:2023:i:4:d:10.1007_s00184-022-00882-1
    DOI: 10.1007/s00184-022-00882-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00184-022-00882-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00184-022-00882-1?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.

    References listed on IDEAS

    as
    1. Welch, Shawn M., 1998. "Nonparametric estimates of the duration of welfare spells," Economics Letters, Elsevier, vol. 60(2), pages 217-221, August.
    2. Johnny Ducking & Peter Groothuis & James Hill, 2015. "Exit Discrimination in the NFL: A Duration Analysis of Career Length," The Review of Black Political Economy, Springer;National Economic Association, vol. 42(3), pages 285-299, September.
    Full references (including those not matched with items on IDEAS)

    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. Martina Gianecchini & Alberto Alvisi, 2015. "Late career of superstar soccer players: win, play, or gain?," "Marco Fanno" Working Papers 0192, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Giorgos Foutzopoulos & Nikolaos Pandis & Michail Tsagris, 2024. "Predicting Full Retirement Attainment of NBA Players," Working Papers 2403, University of Crete, Department of Economics.
    3. Bodvarsson, Örn B. & Humphreys, Brad R., 2009. "Labor Market Discrimination and Capital Investment: The Effects of Fan Discrimination on Stadium Investment," IZA Discussion Papers 4551, Institute of Labor Economics (IZA).
    4. Peter A. Groothuis & Jana D. Groothuis, 2008. "Nepotism or Family Tradition? A Study of NASCAR Drivers," Journal of Sports Economics, , vol. 9(3), pages 250-265, June.
    5. James H. McVittie & Ana F. Best & David B. Wolfson & David A. Stephens & Julian Wolfson & David L. Buckeridge & Shahinaz M. Gadalla, 2023. "Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records," International Statistical Review, International Statistical Institute, vol. 91(1), pages 72-87, April.
    6. Daniel LaFave & Randy Nelson & Michael Doherty, 2018. "Race and Retention in a Competitive Labor Market," Journal of Sports Economics, , vol. 19(3), pages 417-451, April.
    7. Jeffrey Chu & Saralees Nadarajah & Emmanuel Afuecheta & Stephen Chan & Ying Xu, 2014. "A statistical study of racism in English football," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2915-2937, September.
    8. Johnny Ducking & Peter A. Groothuis, 2023. "Positional Segregation and Career Length in Major League Baseball in the 1990s," Journal of Economics, Race, and Policy, Springer, vol. 6(3), pages 149-159, September.
    9. Göke Stefan & Prinz Joachim & Weimar Daniel, 2014. "Diamonds are Forever: Job-Matching and Career Success of Young Workers," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(4), pages 450-473, August.
    10. Peter A. Groothuis & James Richard Hill, 2015. "Exit Discrimination in the NBA. Is there a Bias against Foreigners?," Working Papers 15-10, Department of Economics, Appalachian State University, revised 2015.
    11. Jeremy J. Foreman & Brian P. Soebbing & Chad S. Seifried, 2019. "The impact of deviance on head coach dismissals and implications of a personal conduct policy," Sport Management Review, Taylor & Francis Journals, vol. 22(4), pages 491-501, October.
    12. Johnny Ducking & Peter Groothuis & James Hill, 2015. "Exit Discrimination in the NFL: A Duration Analysis of Career Length," The Review of Black Political Economy, Springer;National Economic Association, vol. 42(3), pages 285-299, September.
    13. Kahn, Lawrence M., 2009. "The Economics of Discrimination: Evidence from Basketball," IZA Discussion Papers 3987, Institute of Labor Economics (IZA).
    14. Craig A. Depken II & Peter A. Groothuis & Kurt W. Rotthoff, 2016. "Family Connections in Motorsports: The Case of Formula One," Working Papers 16-13, Department of Economics, Appalachian State University.
    15. Johnny Ducking & Peter A. Groothuis & James Richard Hill, 2017. "Compensation Discrimination: an Analysis of Linebackers, Defensive Linemen, and Defensive Backs in the National Football League," The Review of Black Political Economy, Springer;National Economic Association, vol. 44(3), pages 251-260, December.
    16. Quinn A. W. Keefer & Thomas J. Kniesner, 2023. "“Injury risk, concussions, race, and pay in the NFL”," Journal of Risk and Uncertainty, Springer, vol. 67(2), pages 107-136, October.
    17. Christopher Jepsen & Lisa Jepsen & Trevor Draisey & Josh Mahoney, 2021. "Race and National Football League Player Salaries After Controlling for Fantasy Statistics and Arrests," Journal of Sports Economics, , vol. 22(4), pages 359-386, May.
    18. Scott Tainsky & Brian M. Mills & Jason A. Winfree, 2015. "Further Examination of Potential Discrimination Among MLB Umpires," Journal of Sports Economics, , vol. 16(4), pages 353-374, May.
    19. Boyden Nathaniel B & Carey James R, 2010. "From One-and-Done to Seasoned Veterans: A Demographic Analysis of Individual Career Length in Major League Soccer," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(4), pages 1-17, October.
    20. Ehrlich Justin & Sanders Shane & Boudreaux Christopher J., 2019. "The relative wages of offense and defense in the NBA: a setting for win-maximization arbitrage?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(3), pages 213-224, September.

    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:spr:metrik:v:86:y:2023:i:4:d:10.1007_s00184-022-00882-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.