IDEAS home Printed from https://ideas.repec.org/p/boc/lsug26/12.html

Mediation-aligned analysis with a survival outcome and missing data using med4way: Decomposing the effect of contingency management on appointment attendance through therapeutic alliance

Author

Listed:
  • Louise MacGregor

    (Kings College London)

  • Kimberley Goldsmith

    (Kings College London)

  • Nicola Metrebian

    (Kings College London)

Abstract

Contingency management (CM)—a behavioral intervention using positive reinforcement such as financial incentives—has strong evidence supporting its use in opioid use disorder (OUD) treatment. Individuals being treated for OUD receive opiate agonist treatment and regular keywork appointments at the start of treatment, with continuous attendance representing a positive outcome. Therapeutic alliance (TA) between patient and keyworker is a proposed process variable through which some of the effect of CM may operate. This presentation examines the extent to which CM's effect on treatment attendance is transmitted via TA, relative to treatment as usual (TAU). This presented two analytic challenges: modeling the time-to-nonattendance outcome as a survival outcome and addressing the substantial amount of missing TA data. We present a principled approach to both challenges within a mediation framework, implemented using the med4way command with the bootstrap function, and multiple imputation procedures in Stata.

Suggested Citation

  • Louise MacGregor & Kimberley Goldsmith & Nicola Metrebian, "undated". "Mediation-aligned analysis with a survival outcome and missing data using med4way: Decomposing the effect of contingency management on appointment attendance through therapeutic alliance," UK Stata Conference 2026 12, Stata Users Group.
  • Handle: RePEc:boc:lsug26:12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:boc:lsug26:12. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.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.