Skip Navigation

Biometrika 1990 77(4):893-896; doi:10.1093/biomet/77.4.893
© 1990 by Biometrika Trust
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by HOOVER, D. R.
Right arrow Articles by GUESS, F. M.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?


Miscellanea

Response linked censoring: Modelling and estimation

DONALD R. HOOVER and FRANK M. GUESS

Departments of Epidemiology and Biostatistic.s, Johns Hopkins University Baltimore, Maryland 21205. U.S.A.
Department of Statistics, University of Tennessee Tennessee 37996, U.S.A.

A form of positive dependence between censoring time and response time is defined as response linked, RL, censoring. We present a method for modelling, estimation and detection of RL censoring in situations where both RL and independent censoring can occur. This method involves parametric modelling with covanates and is illustrated with the Stanford heart transplant data. Other applications are mentioned.

Key Words: Covariate • Dependent censoring • Survival analysis


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.