Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Post-Model-Selection Statistical Inference with Interrupted Time Series
  Designs: An Evaluation of an Assault Weapons Ban in California   There have been many claims in the media and a bit of respectable research
about the causes of variation in firearm sales. The challenges for causal
inference can be quite daunting. This paper reports an analysis of daily
handgun sales in California from 1996 through 2018 using an interrupted time
series design and analysis. The design was introduced to social scientists in
1963 by Campbell and Stanley, analysis methods were proposed by Box and Tiao in
1975, and more recent treatments are easily found (Box et al., 2016). But this
approach to causal inference can be badly overmatched by the data on handgun
sales, especially when the causal effects are estimated. More important for
this paper are fundamental oversights in the standard statistical methods
employed. Test multiplicity problems are introduced by adaptive model selection
built into recommended practice. The challenges are computational and
conceptual. Some progress is made on both problems that arguably improves on
past research, but the take-home message may be to reduce aspirations about
what can be learned.

19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph