Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Statistical methods for body mass index: a selective review of the
  literature   Obesity rates have been increasing over recent decades, causing significant
concern among policy makers. Excess body fat, commonly measured by body mass
index (BMI), is a major risk factor for several common disorders including
diabetes and cardiovascular disease, placing a substantial burden on health
care systems. % Body mass index (BMI) is one indicator for excess body fat. To
guide effective public health action, we need to understand the complex system
of intercorrelated influences on BMI. This paper will review both classical and
modern statistical methods for BMI analysis, highlighting that most of the
classical methods are simple and easy to implement but ignore the complexity of
data and structure, whereas modern methods do take complexity into
consideration but can be difficult to implement. A series of case studies are
presented to illustrate these methods and some potentially useful new models
are suggested.

31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph