Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting the skewness of data from the sample size and the five-number
  summary   For clinical studies with continuous outcomes, when the data are potentially
skewed, researchers may choose to report the whole or part of the five-number
summary (the sample median, the first and third quartiles, and the minimum and
maximum values), rather than the sample mean and standard deviation. For the
studies with skewed data, if we include them in the classical meta-analysis for
normal data, it may yield misleading or even wrong conclusions. In this paper,
we develop a flow chart and three new tests for detecting the skewness of data
from the sample size and the five-number summary. Simulation studies
demonstrate that our new tests are able to control the type I error rates, and
meanwhile provide good statistical power. A real data example is also analyzed
to demonstrate the usefulness of the skewness tests in meta-analysis and
evidence-based practice.

33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
29
The categories of this paper are: funct-an