IDEAS home Printed from https://ideas.repec.org/a/mtn/ancoec/050201.html
   My bibliography  Save this article

Longitudinal and incomplete clinical studies

Author

Listed:
  • Geert Verbeke
  • Geert Molenberghs

Abstract

No abstract is available for this item.

Suggested Citation

  • Geert Verbeke & Geert Molenberghs, 2005. "Longitudinal and incomplete clinical studies," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 143-176.
  • Handle: RePEc:mtn:ancoec:050201
    as

    Download full text from publisher

    File URL: https://www.dss.uniroma1.it/RePec/mtn/articoli/2005-2-1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Garrett M. Fitzmaurice, 2003. "Methods for Handling Dropouts in Longitudinal Clinical Trials," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(1), pages 75-99, February.
    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. Sanjoy Sinha, 2012. "Robust analysis of longitudinal data with nonignorable missing responses," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(7), pages 913-938, October.
    2. Sinha, Sanjoy K. & Kaushal, Amit & Xiao, Wenzhong, 2014. "Inference for longitudinal data with nonignorable nonmonotone missing responses," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 77-91.

    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. Oya Kalaycioglu & Andrew Copas & Michael King & Rumana Z. Omar, 2016. "A comparison of multiple-imputation methods for handling missing data in repeated measurements observational studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 683-706, June.
    2. Antonello Maruotti, 2015. "Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(1), pages 84-109, March.

    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:mtn:ancoec:050201. 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: Marco Alfo' (email available below). General contact details of provider: .

    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.