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"underlying variable" is a correct and usable phrase in written English
It can be used to refer to a factor or condition that is not immediately apparent but affects the outcome or behavior of something. Example: The researchers analyzed the data and found that the underlying variable of socioeconomic status had a significant impact on the participants' attitudes towards healthcare.
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Yet, neither the full extent of variability at these "metastable epialleles," nor the phylogenetic relationship underlying variable elements is well understood.
Tarres et al. [ 9] showed that Ducrocq's formulae [ 8], drawn from the grouped data model for survival analysis (where the value of the underlying variable is necessarily larger than 0), can be applied to an underlying variable with negative values.
Bankers say that only the few airlines with the highest credit ratings have been able to add to their hedge books in recent months to take advantage of lower oil prices.The bankers' reluctance stems from the nature of hedging contracts which, although not officially loans, nonetheless create liabilities between banks and their customers which grow or shrink as the underlying variable changes.
The significant value of chi-square represents ARCH effect in the underlying variable.
Mechanisms underlying variable weight loss (WL) response after Roux-en-Y gastric bypass (RYGB) are poorly understood.
This measure is also useful in ruling out a confound of spatial ability as the underlying variable between mechanism understanding and mathematical strategy use.
Specifically, this analysis shows how much variation in a variable is explained by its own innovation and shows the percentage contribution of other variables to the underlying variable.
Clearly, a firm's perception of the demand or credit shock intensity depends on the past volatility of the underlying variable, and this may differ systematically across the sampled countries.
The only assumption that this model makes is a statistical one, namely, that the aggregate underlying variable, whatever it might be, can be adequately modeled by two Gaussian distributions.
The method is confirmed to be a multinomial tree, in which the underlying variable moves from its initial value to an infinity of possible values of the next time step.
Each of the cues is assumed to be a noisy observation of this underlying variable.
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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