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However, there are limitations of existing methods for modeling multiple correlated risks to support decision makers for allocating orders among multiple suppliers in the presence of spot market.
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The new organizational model allows for some perspective, and the ability to see correlated risks across multiple banks.
Besides chance or artifact, clustering of different cancers in a given area may depend on exposure to a shared risk factor or to multiple correlated factors (e.g. cigarette smoking and obesity in a deprived area).
We detail the necessary steps for conducting Mendelian randomization investigations using published data, and present novel statistical methods for combining data on the associations of multiple (correlated or uncorrelated) genetic variants with the risk factor and outcome into a single causal effect estimate.
Metabolic syndrome (MetS) is a cluster of multiple correlated metabolic features that is associated with a fivefold increased risk of type 2 diabetes and a twofold increased risk of cardiovascular disease (CVD) (1).
This will involve: conducting conditional tests to identify the causal genetic variant among multiple correlated signals; testing whether the effect of PTSD genetic risk variants is moderated by age of first trauma, trauma type, and trauma severity; and exploring gene-gene interactions using a novel gene-based statistical approach.
Main advantages over the use of multiple correlated endophenotypes in univariate analyses are an increased reliability and decreased risk of false positive results.
And they feel that they have to exclude it, because those are correlated risks, right?
This is particularly an issue in cases with multiple correlated exposures, where the direction of bias is uncertain.
The proposed metrics are applicable to validation for models with multiple correlated responses.
We consider regression models with multiple correlated responses for each design point.
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