"the likelihood of missing" is correct and can be used in written English.
It is typically used when discussing the probability of not achieving something or not being present for something. An example sentence would be, "The likelihood of missing my flight is high due to the heavy traffic in the city."
I predict an unexpected increase in transactional filings (for example, due to a high number of IPOs, spin-offs, or acquisitions) will reduce the time examiners spend reviewing each individual filing, increasing the likelihood of missing an error.
In schedule risk analysis, the likelihood of missing the deadline against estimates is determined.
Moreover, these types of charts require consecutive observations, a characteristic which represents a potential practical disadvantage when monitoring bipolar patients due to the likelihood of missing data.
ReVS keeps the likelihood of missing relevant cache placement scenarios of interest below 10−9, as discussed in Section 2. Instead, if we only use the number of runs, R, determined by MBPTA (HoG), the likelihood of missing those scenarios becomes higher (see the corresponding likelihood columns).
This computer vision-based approach to trainee modeling will allow for automatically searching large databases of mammograms in order to identify challenging cases for each trainee.The authors' algorithm for predicting the likelihood of missing a mass consists of three steps.
First, it will decrease the likelihood of missing important studies when conducting a literature review; and second, standardized language will improve the efficiency of source identification during meta-analyses and systematic reviews.
Increasing age, polypharmacy, and being male decreased the likelihood of missed monitoring.
Low loss to follow-up and centralized adjudication of outcomes reduced the likelihood of missed or misclassified T2DM outcomes.
Patient-initiated clinics (PIC) aim to be responsive to patients needs during the fluctuation of their condition and to minimise the likelihood of missed appointments (and hence wasted resources).
In Headlong, for instance, as Frayn's would-be art historian ruminates on the likelihood of a missing Brueghel turning up, out pops an allusion to Oscar Wilde's Importance of Being Ernest: "In that case no fewer than seven of the series might have been lost, which by Lady Bracknell's standards might seem like quite egregious carelessness".
Third, error-making models (classifiers) are applied to predict the likelihood of trainees missing the abnormality based on the extracted features.
