Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Beyond p values: practical methods for analyzing uncertainty in research   This article explains, and discusses the merits of, three approaches for
analyzing the certainty with which statistical results can be extrapolated
beyond the data gathered. Sometimes it may be possible to use more than one of
these approaches. (1) If there is an exact null hypothesis which is credible
and interesting (usually not the case), researchers should cite a p value
(significance level), although jargon is best avoided. (2) If the research
result is a numerical value, researchers should cite a confidence interval. (3)
If there are one or more hypotheses of interest, it may be possible to adapt
the methods used for confidence intervals to derive an "estimated probability"
for each. Under certain circumstances these could be interpreted as Bayesian
posterior probabilities. These estimated probabilities can easily be worked out
from the p values and confidence intervals produced by packages such as SPSS.
Estimating probabilities for hypotheses means researchers can give a direct
answer to the question "How certain can we be that this hypothesis is right?".

9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
7
The categories of this paper are: hep-th
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics