A definition is given of partial likelihood generalizing the ideas of conditional and marginal likelihood. Applications include life tables and inference in stochastic processes. It is shown that the usual large-sample properties of maximum likelihood estimates and tests apply when partial likelihood is used.
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The purpose is to give a general approach to the analysis of the proportional hazards model, whether the baseline distribution is absolutely continuous, ...
Partial likelihood can also be viewed as a version of composite likelihood, a different example of which was studied in Cox and Reid (2004).
A definition is given of partial likelihood generalizing the ideas of conditional and marginal likelihood. Applications include life tables and inference in ...
Partial (pooled) likelihood estimation for panel data is a quasi-maximum likelihood method for panel analysis that assumes that density of y i t ...
- general theory for estimating functions suggests that partial likelihood estimates asymptotically consistent and normal. ui (β) = zRi − E[zRi |TRi ∈ [t(i), ...
The partial likelihood function is a statistical method used to estimate the parameters of a model while accounting for censoring in survival data.
A general asymptotic theory is developed for the maximum likelihood estimator based on a partial likelihood. Conditions are given for consistency and ...
The test compares the results of stratified and unstratified partial likelihood estimation. The Unstratified Partial Likelihood Estimator (UPLE) is the ...
Merit of partial likelihood method : The method involves less assumptions and hence is more robust than full likelihood method. Demerit of partial likelihood ...