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- Approximate likelihood (1)
- Asymptotic variance of maximum partial likelihood estimate (1)
- Cox model (1)
- Estimability (1)
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Institut
Estimability in Cox models
(2016)
Our procedure of estimating is the maximum partial likelihood estimate (MPLE) which is the appropriate estimate in the Cox model with a general censoring distribution, covariates and an unknown baseline hazard rate . We find conditions for estimability and asymptotic estimability. The asymptotic variance matrix of the MPLE is represented and properties are discussed.
Ill-posed inverse problems
(1996)