Mixed Model-based Hazard Estimation
journal contributionposted on 08.06.2017 by Cai, T., Hyndman, Rob J., Wand, M.P.
Any type of content formally published in an academic journal, usually following a peer-review process.
We propose 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.