The Incidence of Monotone Likelihood in the Cox Model
In estimating covariate coefficients for the Cox proportional-hazards model, there is a nonzero probability for any finite sample that the maximum likelihood estimate will be infinite. This implies that in Monte Carlo studies the variance is not a suitable estimator of precision. This also may neces...
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Veröffentlicht in: | Technometrics 1981-11, Vol.23 (4), p.381-383 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | In estimating covariate coefficients for the Cox proportional-hazards model, there is a nonzero probability for any finite sample that the maximum likelihood estimate will be infinite. This implies that in Monte Carlo studies the variance is not a suitable estimator of precision. This also may necessitate a stratified analysis when multiple covariates are involved. A simple method is given for detecting and handling these infinite estimates. |
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ISSN: | 0040-1706 1537-2723 |
DOI: | 10.1080/00401706.1981.10487683 |