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Every year, I prepare my applicants for the probability of rejection by telling them that the student they are competing against is the one who looks the most like them.
Bivariate tests reveal that higher ethnocentric and neo-phobic segments possess common socio-demographic characteristics, whilst neo-phobia plays a significantly stronger role in determining the probability of rejection.
Since the sum of the probabilities of accepting the good lot and rejecting the good lot is equal to unity (see the definition of α in Table 1), the probability of rejection of the good lot is 0.049 (= 1 − 0.951).
Finally, we examined the probability of rejection in relation to reviewer agreement and disagreement.
There was a significant effect of contrast between parasite and host eggs on probability of rejection, although there appeared to be a threshold in egg recognition abilities.
They maximize the probability of rejection, assuming that certain significant measurement error has been introduced into the measurements, while keeping the probability for false rejection less than a certain threshold.
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Power curves at the 350-h half-life showed higher probabilities of rejection of BE for true test/reference ratios greater than 0.9.
At a user-defined significance level of α (default 0.05), corresponding to the probability of false rejection, we reject the null hypothesis and infer that the topologies are not equally supported if P < α, or we fail to reject the null hypothesis and say that the topologies are equally supported if P ≥ α.
The fundamental prediction of the optimal threshold individual-level approach to nestmate recognition is a correlation between true and false rejections, because increasing the probability of correct rejection of non-nestmates increases the chance of false rejection of nestmates.
The high probability of ultimate rejection that arises from relatively low per-encounter rejection probabilities also has important implications for within-nest interactions among nestmates.
If the test proves to be successful in early and reliably identifying patients with a high probability of acute rejection, this would enable timely intervention and probably, prevention of renal tissue injury and of the deleterious long-term consequences of the rejection.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com