Causal mediation analysis for survival outcome with unobserved mediator–outcome confounders
Author
Abstract
Suggested Citation
DOI: 10.1016/j.csda.2014.11.016
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Li, Yan & Bienias, Julia L. & Bennett, David A., 2007. "Confounding in the estimation of mediation effects," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3173-3186, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Cheng Zheng & Lei Liu, 2022. "Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach," Biometrics, The International Biometric Society, vol. 78(3), pages 1233-1243, September.
- Antonio Calcagnì & Luigi Lombardi & Lorenzo Avanzi & Eduardo Pascali, 2020. "Multiple mediation analysis for interval-valued data," Statistical Papers, Springer, vol. 61(1), pages 347-369, February.
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.- Lorenzo Carbonari & Alessio Farcomeni & Filippo Maurici & Giovanni Trovato, 2023.
"On the output effect of fiscal consolidation plans: a causal analysis,"
Working Paper series
23-18, Rimini Centre for Economic Analysis.
- Lorenzo Carbonari & Alessio Farcomeni & Filippo Maurici & Giovanni Trovato, 2024. "On the Output Effect of Fiscal Consolidation Plans: A Causal Analysis," CEIS Research Paper 578, Tor Vergata University, CEIS, revised 20 May 2024.
- Jose Arias-Pérez & Geovanny Perdomo-Charry & Carlos Castaño-Ríos, 2017. "Not-Invented-Here Syndrome And Innovation Performance: The Confounding Effect Of Innovation Capabilities As Organisational Routines In Service Firms," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-20, January.
More about this item
Keywords
Causal inference; Direct and indirect effects; Mediation analysis; Survival analysis;All these keywords.
Statistics
Access and download statisticsCorrections
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:eee:csdana:v:93:y:2016:i:c:p:336-347. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.