Mixed Model-Based Hazard Estimation
提出一种从删失失效时间数据估计危险率函数的新方法，通过混合模型表示惩罚样条估计量，利用限制最大似然自动选择平滑参数，并可使用标准混合模型软件实现自动估计。
This article proposes a new method for estimation of the hazard function from a set of censored failure time data, with a view to extending the general approach to more complicated models. The approach is based on a mixed model representation of penalized spline hazard estimators. One payoff is the automation of the smoothing parameter choice through restricted maximum likelihood. Another is the option to use standard mixed model software for automatic hazard estimation.