Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Estimating mean survival time: when is it possible?   For right censored survival data, it is well known that the mean survival
time can be consistently estimated when the support of the censoring time
contains the support of the survival time. In practice, however, this condition
can be easily violated because the follow-up of a study is usually within a
finite window. In this article we show that the mean survival time is still
estimable from a linear model when the support of some covariate(s) with
nonzero coefficient(s) is unbounded regardless of the length of follow-up. This
implies that the mean survival time can be well estimated when the covariate
range is wide in practice. The theoretical finding is further verified for
finite samples by simulation studies. Simulations also show that, when both
models are correctly specified, the linear model yields reasonable mean square
prediction errors and outperforms the Cox model, particularly with heavy
censoring and short follow-up time.

10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg