The radio is a special survival model, with a battery that can be recharged with a hand crank and short-wave capabilities in case radio stations in Manhattan get knocked out.
Survival model was performed using Cox proportional hazards.
For the survival model, data from 6149 men were used.
The survival model used a Cox modelling procedure.
The combined data of three test runs were assessed by the Cox proportional hazards survival model.
The survival model in lme4 is based the logistic transformation of θ.
We rely on spatial extension of the discrete-time survival model (Fahrmeir and Tutz 2001).
We also introduce a long-term survival model based on the new family.
Combined data of two replicates was assessed by the Cox proportional hazards survival model.
Their model set consists of individual-tree diameter increment model, individual-tree survival model, and models for ingrowth.
In the fourth application, we present an application using the long-term survival model defined in Section 7.
