IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v58y2002i1p37-47.html
   My bibliography  Save this article

Survival Analysis Using Auxiliary Variables Via Multiple Imputation, with Application to AIDS Clinical Trial Data

Author

Listed:
  • Cheryl L. Faucett
  • Nathaniel Schenker
  • Jeremy M. G. Taylor

Abstract

No abstract is available for this item.

Suggested Citation

  • Cheryl L. Faucett & Nathaniel Schenker & Jeremy M. G. Taylor, 2002. "Survival Analysis Using Auxiliary Variables Via Multiple Imputation, with Application to AIDS Clinical Trial Data," Biometrics, The International Biometric Society, vol. 58(1), pages 37-47, March.
  • Handle: RePEc:bla:biomet:v:58:y:2002:i:1:p:37-47
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00037.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.

    References listed on IDEAS

    as
    1. Schenker, Nathaniel & Taylor, Jeremy M. G., 1996. "Partially parametric techniques for multiple imputation," Computational Statistics & Data Analysis, Elsevier, vol. 22(4), pages 425-446, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Wen Ye & Jeremy M.G. Taylor & Xihong Lin, 2010. "The authors replied as follows:," Biometrics, The International Biometric Society, vol. 66(3), pages 987-991, September.
    2. Yidan Shi & Leilei Zeng & Mary E. Thompson & Suzanne L. Tyas, 2021. "Augmented likelihood for incorporating auxiliary information into left-truncated data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 27(3), pages 460-480, July.
    3. Yun Li & Jeremy M. G. Taylor & Roderick J. A. Little, 2011. "A Shrinkage Approach for Estimating a Treatment Effect Using Intermediate Biomarker Data in Clinical Trials," Biometrics, The International Biometric Society, vol. 67(4), pages 1434-1441, December.
    4. Shirin Moghaddam & John Newell & John Hinde, 2022. "A Bayesian Approach for Imputation of Censored Survival Data," Stats, MDPI, vol. 5(1), pages 1-19, January.
    5. Hélène Jacqmin-Gadda & Daniel Commenges & Jean-François Dartigues, 2006. "Random Changepoint Model for Joint Modeling of Cognitive Decline and Dementia," Biometrics, The International Biometric Society, vol. 62(1), pages 254-260, March.
    6. Xiao, Chang & Florescu, Ionut & Zhou, Jinsheng, 2020. "A comparison of pricing models for mineral rights: Copper mine in China," Resources Policy, Elsevier, vol. 65(C).
    7. Layla Parast & Beth Ann Griffin, 2017. "Landmark estimation of survival and treatment effects in observational studies," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 161-182, April.
    8. Lisa M. McCrink & Adele H. Marshall & Karen J. Cairns, 2013. "Advances in Joint Modelling: A Review of Recent Developments with Application to the Survival of End Stage Renal Disease Patients," International Statistical Review, International Statistical Institute, vol. 81(2), pages 249-269, August.

    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. Timm Bönke & Markus M. Grabka & Carsten Schröder & Edward N. Wolff & Lennard Zyska, 2019. "The Joint Distribution of Net Worth and Pension Wealth in Germany," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(4), pages 834-871, December.
    2. Christos Agiakloglou & Michael Polemis, 2018. "Evaluating the liberalization process on Telecommunications services for EU countries," Economics and Business Letters, Oviedo University Press, vol. 7(3), pages 98-107.
    3. Moritz Kuhn & Moritz Schularick & Ulrike I. Steins, 2020. "Income and Wealth Inequality in America, 1949–2016," Journal of Political Economy, University of Chicago Press, vol. 128(9), pages 3469-3519.
    4. Minzhi Liu & Jeremy M. G. Taylor & Thomas R. Belin, 2000. "Multiple Imputation and Posterior Simulation for Multivariate Missing Data in Longitudinal Studies," Biometrics, The International Biometric Society, vol. 56(4), pages 1157-1163, December.
    5. Michael L. Polemis & Thanasis Stengos, 2017. "Electricity Sector Performance: A Panel Threshold Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    6. Alina K. Bartscher & Moritz Kuhn & Moritz Schularick, 2020. "The College Wealth Divide: Education and Inequality in America, 1956-2016," Review, Federal Reserve Bank of St. Louis, vol. 102(1), pages 19-49.
    7. Siddique, Juned & Belin, Thomas R., 2008. "Using an Approximate Bayesian Bootstrap to multiply impute nonignorable missing data," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 405-415, December.
    8. Robert J. Batt & Christian Terwiesch, 2015. "Waiting Patiently: An Empirical Study of Queue Abandonment in an Emergency Department," Management Science, INFORMS, vol. 61(1), pages 39-59, January.
    9. Patrick Lloyd‐Smith, 2021. "The economic benefits of recreation in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(4), pages 1684-1715, November.
    10. Song Xi Chen & Denis H. Y. Leung & Jing Qin, 2008. "Improving semiparametric estimation by using surrogate data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(4), pages 803-823, September.
    11. Cormier, Ben, 2023. "Democracy, public debt transparency, and sovereign creditworthiness," LSE Research Online Documents on Economics 113927, London School of Economics and Political Science, LSE Library.
    12. Maaz Gardezi & J. Gordon Arbuckle, 2019. "Spatially Representing Vulnerability to Extreme Rain Events Using Midwestern Farmers’ Objective and Perceived Attributes of Adaptive Capacity," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 17-34, January.
    13. Polemis, Michael L. & Fafaliou, Irene, 2015. "Electricity regulation and FDIs spillovers in the OECD: A panel data econometric approach," The Journal of Economic Asymmetries, Elsevier, vol. 12(2), pages 110-123.
    14. Hanley Chiang & Alison Wellington & Kristin Hallgren & Cecilia Speroni & Mariesa Herrmann & Steven Glazerman & Jill Constantine, "undated". "Evaluation of the Teacher Incentive Fund: Implementation and Impacts of Pay-for-Performance After Two Years," Mathematica Policy Research Reports 4f123c78ddb644079b88d2bb4, Mathematica Policy Research.
    15. Gianluca Gazzola & Myong K. Jeong, 2021. "Support vector regression for polyhedral and missing data," Annals of Operations Research, Springer, vol. 303(1), pages 483-506, August.
    16. Brunori, Paolo & Salas-Rojo, Pedro & Verme, Paolo, 2022. "Estimating Inequality with Missing Incomes," GLO Discussion Paper Series 1138, Global Labor Organization (GLO).
    17. Kilic, Talip & Zezza, Alberto & Carletto, Calogero & Savastano, Sara, 2017. "Missing(ness) in Action: Selectivity Bias in GPS-Based Land Area Measurements," World Development, Elsevier, vol. 92(C), pages 143-157.
    18. Bilge Erten & Pinar Keskin, 2024. "Trade-offs? The Impact of WTO Accession on Intimate Partner Violence in Cambodia," The Review of Economics and Statistics, MIT Press, vol. 106(2), pages 322-333, March.
    19. Chaton, Corinne & Gouraud, Alexandre, 2020. "Simulation of fuel poverty in France," Energy Policy, Elsevier, vol. 140(C).
    20. Kwon, Tae Yeon & Park, Yousung, 2015. "A new multiple imputation method for bounded missing values," Statistics & Probability Letters, Elsevier, vol. 107(C), pages 204-209.

    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:58:y:2002:i:1:p:37-47. 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: 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.