Skip Navigation

Biometrika 1974 61(1):17-30; doi:10.1093/biomet/61.1.17
© 1974 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 HOLT, J. D.
Right arrow Articles by PRENTICE, R. L.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Survival analyses in twin studies and matched pair experiments

J. D. HOLT1 and R. L. PRENTICE2

1Department of Mathematics and Statistics, University of Guelph Ontario
2Department of Statistics, University of Waterloo Ontario

Several models for paired failure time data are considered. It is assumed that the effects of certain risk factors or treatments are of primary interest and such effects are written as regression parameters in a proportional hazards model. Techniques based on marginally sufficient statistics are proposed for their estimation. Efficiency comparisons are made among estimates based on the suggested models and special attention is given to the study of bias and efficiency in the presence of censoring. Some comparisons are made between the models and analyses presented here and analyses based on study period survival and a binary logistic model for regression parameters.

Key Words: Censoring • Least squares and maximum likelihood estimates • Logistic model • Marginal likelihood • Matched pair experiment • Proportional hazards model • Survival time • Twin studies


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


This article has been cited by other articles:


Home page
 Statistical ModellingHome page
A. Komarek and E. Lesaffre
Bayesian semi-parametric accelerated failure time model for paired doubly interval-censored data
Statistical Modeling, April 1, 2006; 6(1): 3 - 22.
[Abstract] [PDF]

Home page
 J. Virol.Home page
D. Peretz, S. Supattapone, K. Giles, J. Vergara, Y. Freyman, P. Lessard, J. G. Safar, D. V. Glidden, C. McCulloch, H.-O. B. Nguyen, et al.
Inactivation of Prions by Acidic Sodium Dodecyl Sulfate
J. Virol., January 1, 2006; 80(1): 322 - 331.
[Abstract] [Full Text] [PDF]

Home page
 Int J EpidemiolHome page
P. Aaby, A. Bhuiya, L. Nahar, K. Knudsen, A. de Francisco, and M. Strong
The survival benefit of measles immunization may not be explained entirely by the prevention of measles disease: a community study from rural Bangladesh
Int. J. Epidemiol., February 1, 2003; 32(1): 106 - 115.
[Abstract] [Full Text] [PDF]


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.