Hari:
i was interested in the paper for the same reasons as you, but also
wanted to better understand capture/recapture (CR) methods for use where
sampling is problematic.
first i looked a bit at the history of the method, which two different
authors claim goes back to Laplace's estimation of France's population:
https://rss.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1740-9713.2014.00754.x
having done some work on estimating COVID-19 given public health
capitulation to the CDC, i am interested in the technique as a way of
countering the underestimation of health effects, see for example
https://conflictandhealth.biomedcentral.com/articles/10.1186/s13031-022-00497-3
for the case at hand, i would like to have seen better discussion of the
details of how each of the three lists were constructed. several
analyses of the use of CR in war zones:
https://www.researchgate.net/profile/Michael-Spagat/publication/300183549_MSE_and_Casualty_Counts/links/5bfd1acba6fdcc76e722f0f1/MSE-and-Casualty-Counts.pdf
https://dmanriqu.pages.iu.edu/preprints/MSE_a_program.pdf
help to understand what the requirements on lists are for a successful
CR analysis. is appearing on any one of the three lists as random as
catching fish in a pond???
but on a strictly Venn diagram POV, the lack of overlap amongst the
three lists suggest under-reporting is likely.
Les
On 1/13/25 8:15 AM, hari kumar via groups.io wrote:
Thus a new study is of interest. Its' statistics are a bit daunting,
but for the moment its difficulties can be put aside for the activist
community. This article - I do not know any of them, but it seems to
comes from respectable international based scholars. Moreover it is
peer-reviewed, removing a major counter-issue as raised by Beyar et al
as in the above attack on Khatib et al. I give the pdf as an
attachment. [/Although it is on-line now, it is tricky at times to
access it for non-subscribers/]. I also simply copy the abstract in
its' entirety and one simple figure. The paper is of use to the
activist community in my view.
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