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Details van artikel 18 van 23 gevonden artikelen
| Titel: |
Smoothing hazard rates with cubic splines |
| Auteur: |
Jarjoura, David |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 17 (1988) nr. 2 pagina's 377-392 |
| Jaar: |
1988 |
| Inhoud: |
Cubic spline smoothing of hazard rate functions is evaluated through a simulation study. The smoothing algorithm requires unsmoothed time-point estimates of a hazard rate, variances of the estimators, and a smoothing parameter. Two unsmoothed estimators were compared (Kaplan-Meier and Nelson based) as well as variations in the number of time-point estimates input to the algorithm. A cross-validated likelihood approach automated the selection of the smoothing parameter and the number of time-point estimates. The results indicated that, for a simple hazard shape, a wide range of smoothing parameter values and number of time-points will yield mean squared errors not much larger than parametric maximum likelihood estimators. However, for peaked hazards, it seems advisable to use the cross-validated likelihood approach in order to avoid oversmoothing. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 18 van 23 gevonden artikelen
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