The phrase "a probability to remove" is not correct in standard written English.
It may be intended to express the likelihood of removing something, but the phrasing is awkward and unclear.
Example: "There is a probability to remove the outdated files from the system."
Alternatives: "a chance to eliminate" or "a likelihood of removal".
The probability that we wrongly remove a correct contig with average depth ≤ β is at most Note that for an exon of length at least l of sequencing depth x, the probability of branching is.
This assignment is made in such a way that objects whose distance to recently accessed pages (measured as the length of the shortest path of links between them) is high have higher probability of being removed, while pages closer to recently accessed pages are kept cached.
However, even if we remove these three groups there is still evidence of a significant correlation between ψ1 and θs2 for the remaining groups if we combine probabilities (p<0.0001); we can even remove Echinoderms and Molluscs, which are marginally significant individually, and the combined probability value is still significant for the remaining groups (p = 0.003).
The model is performed in a backward stepwise fashion with a probability to remove-level set to 0.25.
Candidate predictors identified at bootstrap analysis were evaluated using three stepwise logistic models before obtaining a final prediction model (probability to enter = 0.01 and probability to remove = 0.02; these more stringent levels were used to protect against type I errors).
To identify candidate predictors of FL, we performed a stepwise logistic regression analysis on 1000 bootstrap samples of 496 subjects (probability to enter = 0.05 and probability to remove = 0.1) [ 21].
Using an imaging probability function (IPF) to remove the ghost images is a feasible approach [8].
A probability refinement was done to remove the GO terms identified as significant due to their children terms.
Finally, we performed econometric analysis using step wise multiple regression (with a stepping method criteria of probability of F-to enter of 0.05 and probability of F-to remove of 0.10) to estimate parameters of various regression models.
aCriteria: probability of F to enter ≤ 0.05, probability of F to remove ≥ 0.10.
