Sentence examples for probability to conclude from inspiring English sources

The probability to conclude for efficacy at the end of stage 1 is α2 = 3.7 %, whereas p = 35.0%%.

The probability to conclude for inefficacy at the end of stage 1 is β2 = 20.4 %, whereas p = 50.0%%.

As expected, test E1 has a probability of 50% to conclude equivalence for dif = 27.2%.

In all probability we were wrong to conclude that the 146 and 152 mutations are potential biomarkers for OSCC but they may well prove to be useful biomarkers for smoking related DNA damage.

However, the fact that our data from Ghana do not show significant association between MHO enrolment and probability of hospitalization leads us to conclude that the evidence from our study on this issue is inconclusive.

As both competing-risk analyses (Cox, Fine and Gray) enable us to conclude that probabilities of death and dialysis initiation were independent in this specific geriatric population, they reinforce the identification of both indication bias in the selection process on behalf of GPs and nephrologists.

It seems reasonable to conclude that the probability for outbreaks is influenced by the proportion of individuals in the population with the ability to respond to increased temperature by increased oviposition.

However, in spite of the low number of patients, the power of the study is sufficient to conclude that the probability for an increased responsiveness with formaldehyde is very low (3%).

By applying the net-benefit framework, we were able to conclude that the probability (adjusting for place) of the Nouna community based health insurance to achieve one extra utilization of health services when the ceiling ratio is approximately $1,000 is barely 30% for Nouna villages whilst the corresponding probability for households living in Nouna town is over 90%.

This resulted in a total of 21 responders (65.6%), which was greater than the 13 responders required to conclude that the true probability of response was >30% and that the study was therefore positive.

In pulmonary embolism, for example, while gestalt pretest probability has been shown to be reasonably accurate, authors comparing gestalt pretest probability to objective scoring systems conclude that they "advocate the use of a clinical prediction rule because it has been shown to be accurate and can be used by less-experienced clinicians".