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For each category of indels, we calculate the proportion of HGMD variants falling into this category, which is our estimate of disease-causal likelihood.
Here I review a Bayesian study of disputed authorship performed by a biblical scholar, and I show that the scholar makes critical errors with respect to several issues, namely: Causal Basis, Likelihood Judgment and Conditional Dependency.
The main limitations of the study are the cross-sectional design, which removes the possibility of causal inference, and likelihood of bias.
As the psychologists Amos Tversky and Daniel Kahneman noted many years ago, the saliency bias is linked to another cognitive quirk: the availability heuristic, which is the tendency to judge the likelihood and causal importance of an event by how easy it is to remember.
The objective of this systematic review and meta-analysis was to assess the relationship between smoking and both MS risk and MS progression, subsequently applying Hill's criteria to further evaluate the likelihood of causal associations.
Quality assessment focused on the likelihood that causal inferences may be drawn, based on a method originally devised for use in criminology reviews.
Then the likelihood based causal model selection (LCMS) test is used to identify expression profiles that sit between the complex-trait QTL and complex trait.
SNP rs11658063 was well imputed in the Caucasian datasets (information score >0.94), but statistically is not a likely candidate causal SNP, with a likelihood over 13 000 times smaller than that of rs11263763 in the Caucasian meta-analysis (P = 1.41 × 10−9).
Characterization of clinically significant cases of DILI encompasses a need to define organ injury phenotype, the level of clinical severity that includes measures of liver function/dysfunction, and the level of likelihood of causal association with the study drug.
The following features of AEs were recorded if these occurred: description, first occurrence, grade of severity, outcome of events (recovered, recovered with sequelae, unresolved), likelihood of causal relationship (possible, probable, improbable, no relationship).
As we upweight the likelihood of being causal for the actual causal SNP in this simulation, we expect that the methods accounting for the prior information will show a better performance.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com