Your English writing platform
Discover LudwigSuggestions(5)
Exact(1)
In other words, LCA is just a mathematical model that identifies a subtype or a cluster of observations according to certain defined characteristics or variables that are common to those observations.
Similar(59)
However, when investigating the J and S comparison, there appears to be a cluster of discordant observations while the majority appear consistent with the statistical model's assumptions.
Each set of measurements from the same subject was considered a correlated cluster of observations.
Both MI and single regression (panels E and F) show a tight cluster of observations around the line of agreement (the diagonal line).
In the Nepal malaria survey, over 10% of the sample was represented in each quintile, with the largest cluster of observations in the middle-income quintile (Q3) (26%).
The residual plots (not shown), in which the residual values were plotted against the linear predictor, showed that two observations in each model had large residuals (≥15) and were possible outliers from the cluster of observations.
Methods and procedures to evaluate clustering methods or algorithms generally compare cluster solutions with the same number of clusters or compare the cluster to solutions to a random clustering of observations.
Details are presented in the Supplementary Information, and the list of parameters that are automatically estimated are (i) Distance distribution: this defines the clustering of observations observed within CpG islands, shores and deserts.
Of note is the observation of a cluster of HuC/D-ir cells near the olfactory nerve-olfactory bulb contact region, which deviates from the olfactory pathway toward more anterior regions near the telencephalic wall (arrowhead in Fig. 2k).
Attention naturally focused on the possible role of the nearby Sellafield nuclear complex, particularly on the risk of exposure to ionising radiation from radioactive material discharged into the environment, although chance could not be confidently excluded as an explanation for this post hoc observation of a cluster of around half a dozen cases.
The Hierarchical Dirichlet process (HDP) is a framework for clustering of observations when the observations are present in groups.
More suggestions(1)
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