Inference for shared-frailty survival models with left-truncated data
Shared-frailty survival models specify that systematic unobserved determinants of duration outcomes are identical within groups of individuals. We consider random-effects likelihood-based statistical inference if the duration data are subject to left-truncation. Such inference with left-truncated data can be performed in the Stata software package. We show that with left-truncated data, the commands ignore the weeding-out process before the left-truncation points, affecting the distribution of unobserved determinants among group members in the data, that is, among the group members who survive until their truncation points. We critically examine studies in the statistical literature on this issue as well as published empirical studies that use the commands. Simulations illustrate the size of the (asymptotic) bias and its dependence on the degree of truncation. We provide a Stata command file that maximizes the likelihood function that properly takes account of the interplay between truncation and dynamic.
|Date of creation:||21 Dec 2011|
|Date of revision:|
|Contact details of provider:|| Postal: IFAU, P O Box 513, SE-751 20 Uppsala, Sweden|
Phone: (+46) 18 - 471 70 70
Fax: (+46) 18 - 471 70 71
Web page: http://www.ifau.se/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Mario Cleves & William W. Gould & Roberto G. Gutierrez & Yulia Marchenko, 2010. "An Introduction to Survival Analysis Using Stata," Stata Press books, StataCorp LP, edition 3, number saus3.
- Ridder, G. & Tunali, I., 1997.
"Stratified Partial Likelihood Estimation,"
1997/17, Koc University.
When requesting a correction, please mention this item's handle: RePEc:hhs:ifauwp:2011_026. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Monica Fällgren)
If references are entirely missing, you can add them using this form.