… We now consider in outline maximum likelihood estimates and tests based on partial likelihood.
While formal asymptotio theorems will not be proved, it will appear that under very broad …

… likelihood estimation based on a partial likelihood. The advantage of being able to use a
partial likelihood … An equivalent way to define a partial likelihood is as a product FIN te(xnlcn) of …

… We introduce in turn the Stratified Partial Likelihood Estimator, the clustering test statistic,
and the second stage estimators for the common time-dependence function and the unit-…

… partial likelihood from a profile point of view. This sheds some new light on the concept of
partial likelihood, … finite sample behavior of the local partial likelihood method. The proofs of the …

… In this note, I describe the links between partial and composite likelihood, and the
connections to profile, marginal, and conditional likelihood. Somewhat tangentially, two recent …

… partial likelihood argument when a rearrangement of the time scale is involved. Approximations
to the partial likelihood … between the partial likelihood of Cox and the likelihood obtained …

… ), who showed that the partial likelihood is a … partial likelihood for handling ties. We also
present tools for simplification of the Gibbs sampling algorithm for implementing partial likelihood …

… In particular, the kernel functions appear twice in the local partial likelihood (2.4), so as to …
local partial-likelihood estimator. As shown in Appendix A, the local partiallikelihood function ln(…

… partial (marginal or rank) likelihood which can be computed without knowing h. In section 2,
we show that the partial likelihood … concepts of partial likelihood and marginal likelihood (see …

… -effects partial likelihood, which is accomplished by applying Cox's partial likelihood method
with each individual treated as a separate stratum. Fixed-effects partial likelihood controls …