You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Sequential Methods for Parametric Survival Models
Anastasios A. Tsiatis, Helene Boucher and Kyungmann Kim
Vol. 82, No. 1 (Mar., 1995), pp. 165-173
Stable URL: http://www.jstor.org/stable/2337636
Page Count: 9
You can always find the topics here!Topics: Maximum likelihood estimators, Parametric models, Censored data, Martingales, Clinical trials, Null hypothesis, Covariance, Modeling, Simulations, Experimentation
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
The asymptotic sequential distribution is derived for score tests and maximum likelihood estimates in parametric survival models in the presence of nuisance parameters where individuals enter over time and the data are subject to right censoring. It is shown that these sequential tests and estimates have an independent increments structure. This allows the use of standard group sequential methods for early stopping.
Biometrika © 1995 Biometrika Trust