Detecting the contagion effect in mass killings; a constructive example of the statistical advantages of unbinned likelihood methods
Sherry Towers; Anuj Mubayi; Carlos Castillo‐Chávez · 2018 · PLoS ONE
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: When attempting to statistically distinguish between a null and an alternative hypothesis, many researchers in the life and social sciences turn to binned statistical analysis methods, or methods that are simply based on the moments of a distribution (such as the mean, and variance). These methods have the advantage of simplicity of implementation, and simplicity of explanation. However, when null and alternative hypotheses manifest themselves in subtle differences in patterns in the data, binned analysis methods may be insensitive to these differences, and researchers may erroneou
Abstract by Sherry Towers; Anuj Mubayi; Carlos Castillo‐Chávez, PLoS ONE (2018) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1371/journal.pone.0196863