Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Generalizing the Network Scale-Up Method: A New Estimator for the Size
  of Hidden Populations   The network scale-up method enables researchers to estimate the size of
hidden populations, such as drug injectors and sex workers, using sampled
social network data. The basic scale-up estimator offers advantages over other
size estimation techniques, but it depends on problematic modeling assumptions.
We propose a new generalized scale-up estimator that can be used in settings
with non-random social mixing and imperfect awareness about membership in the
hidden population. Further, the new estimator can be used when data are
collected via complex sample designs and from incomplete sampling frames.
However, the generalized scale-up estimator also requires data from two
samples: one from the frame population and one from the hidden population. In
some situations these data from the hidden population can be collected by
adding a small number of questions to already planned studies. For other
situations, we develop interpretable adjustment factors that can be applied to
the basic scale-up estimator. We conclude with practical recommendations for
the design and analysis of future studies.

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The categories of this paper are: hep-ph
1
The categories of this paper are: cs
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg