Hazard regression for interval-censored data with penalized spline. (English) Zbl 1210.62130
Summary: This article introduces a new approach for estimating the hazard function for possibly interval- and right-censored survival data. We weakly parameterize the log-hazard function with a piecewise-linear spline and provide a smoothed estimate of the hazard function by maximizing the penalized likelihood through a mixed model-based approach. We also provide a method to estimate the amount of smoothing from the data. We illustrate our approach with two well-known interval-censored data sets. Extensive numerical studies are conducted to evaluate the efficacy of the new procedure.
MSC:
| 62N02 | Estimation in survival analysis and censored data |
| 62G08 | Nonparametric regression and quantile regression |
| 62N01 | Censored data models |
| 62-08 | Computational methods for problems pertaining to statistics |
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