Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The additive hazard estimator is consistent for continuous-time marginal
  structural models   Marginal structural models (MSMs) allow for causal analysis of longitudinal
data. The MSMs were originally developed as discrete time models. Recently,
continuous-time MSMs were presented as a conceptually appealing alternative for
survival analysis. In applied analyses, it is often assumed that the
theoretical treatment weights are known, but these weights are usually unknown
and must be estimated from the data. Here we provide a sufficient condition for
a class of continuous-time MSMs to be consistent even when the weights are
estimated, and we show how additive hazard models can be used to estimate such
weights. Our results suggest that the continuous-time weights perform better
than IPTW when the underlying treatment process is continuous. Furthermore, we
may wish to transform effect estimates of hazards to other scales that are
easier to interpret causally. We show that a general transformation strategy
can be used on weighted cumulative hazard estimates to obtain a range of other
parameters in survival analysis, and demonstrate how this strategy can be
applied on data using our R packages ahw and transform.hazards.

27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio