Your English writing platform
Discover LudwigExact(2)
Because most patients with NTM pulmonary lung disease do not receive treatment, our definition (which requires treatment) is probably relatively insensitive, missing all untreated cases.
A notably high alanine aminotransferase (ALT) level (greater than twice the upper limit of normal) on the initial ALT test had high predictive value, but was insensitive, missing half the cases of viral infection.
Similar(58)
Both maximum likelihood phylogenomic analyses reconstructed identical and strongly supported topologies (bootstrap = 100; Figure S2), demonstrating that our phylogenetic inference was insensitive to missing data.
This study refutes the theory that current culture methods are insensitive and missing a large proportion of patients in whom fungi are playing a central role.
We hypothesize that case based systems are more insensitive to missing data, because they are based on a broader base of data elements and more sensitive to incorrect data as these cause imprecise prediction models.
However, RMSD has several characteristics that limit its usefulness for structure prediction assessment: the score is dominated by outliers in poorly predicted regions while at the same time it is insensitive to missing parts of the model, and it strongly depends on the superposition of the model with the reference structure.
We undertook additional sensitivity analyses using multiply imputed datasets, and these suggest that the CACE results are insensitive to the missing data.
There is also evidence from prior methodological work that CACE estimates produced from latent class modelling are insensitive to the missing data assumption used, missing at random or latent ignorability [ 24].
Additional sensitivity analyses indicated that the species results were insensitive to treatment of missing values, alternative df used for the smoothers of time and weather, and different lags for the weather terms in the model specifications (data not shown).
With few exceptions, these results were relatively insensitive to alternative treatment of missing values, different smoothers of time, and different lag specifications for meteorologic covariates.
The data records collected from patients within a day (dense sampling) and from HV are defined as insensitive data in terms of missing AAG, since an AAG value was not expected to change much under those situations.
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