Your English writing platform
Discover LudwigThe phrase "ascertained data" is correct and usable in written English.
It can be used when referring to information that has been determined or established through investigation or analysis.
Example: "The ascertained data from the study indicates a significant correlation between the variables."
Alternatives: "verified data" or "established data".
Exact(22)
Using medically ascertained data, we applied the cumulative burden metric to compare chronic cardiovascular health conditions in survivors of Hodgkin's lymphoma and general population controls.
As can be noted visually, very accurate estimates of the unascertained allele frequency distribution are recovered from the divergence ascertained data.
The percent of alleles captured by these core sets was only slightly lower than was found for the ascertained data (Table 5), suggesting that we may not have missed a large number of rare SNP alleles.
This ascertainment corrected version of the likelihood function is also useful in a Bayesian setting, for an example see Katzman et al. [14], where it was used in a Bayesian Hierarchical model for estimating distributions of selection coefficients from divergence ascertained data.
In this study I offer simple corrections for those biases which may be used to estimate the unascertained site frequency spectrum of divergence ascertained data as well as for estimation of evolutionary parameters when the sequence used for ascertainment is included in the population sample.
The 'Boot2 SEs' are computed by bootstrapping the ascertained data.
Similar(38)
To ascertain data quality, we employed two supervised classification analyses: linear discrimination analysis (LDA) and K-nearest neighbor classification (KNN).
There were significant geographic challenges in locating and ascertaining data from the subjects in childhood.
Studies providing insufficient evidence had unclear or inappropriate methods to ascertain data and insufficient analysis.
Several efforts were also made to ascertain data accuracy and account for it in the sampling weights [ 18].
To ascertain data quality, we crosschecked information with other reports from previous years and we did not detect any inconsistencies.
Write better and faster with AI suggestions while staying true to your unique style.
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