Bootstrapping survival models*

In the first section, we looked at the role of pseudovalues in carrying out inference related to survival data. The main idea behind the use of pseudovalues is to replace the incomplete observations with an appropriate (expected) value and then use the flexible framework of the generalized estimating equation. Survival analysis and the related specialized methods for it will be detailed in Chapter 10, Ensembling Survival Models, of the book. We will briefly introduce the notation here as required to set up the parameters. Let T denote the survival time, or the time to the event of interest, and we naturally have , which is a continuous random variable. Suppose that the lifetime cumulative distribution is F and the associated density function is f. Since the lifetimes T are incomplete for some of the observations and subject to censoring, we will not be able to properly infer about interesting parameters such as mean survival time or median survival time. Since...