Sentence examples for survival of a given from inspiring English sources

Long-term space flight creates unique environmental conditions to which the vestibular system must adapt for optimal survival of a given organism.

Risk management strategies, practices that can be critical to the long-term survival of a given agronomic system, warrant a more prominent role.

18 Precursor to the use of Cox regression, life tables have been used to estimate the probabilities of survival of a given cohort.

Alternatively, if unchecked cell survival is detrimental to the long-term survival of a given species, then these genes could have evolved in part to serve as checks and balances built into most cellular processes to avoid inappropriate cell survival.

For overall survival (OS) analyses, the Kaplan-Meier curve was used as a method that estimates the probability of survival to a given time using proportion of patients who have survived to that time [ 23].

This measure corresponds to the product of the probability of survival to a given age, multiplied by the fecundity at that age (see Experimental procedures).

This estimator adjusts the estimates of survival for a given cohort to account for delays in death reports, provided that the delay of death report distribution is known.

We are able to use the survival function to explicitly compute probability of survival to a given time, and this prediction takes into account an individual patient's profile with respect to any significant variables included in the model.

It would be of high clinical interest to further investigate (1) the mechanisms underlying the observed allelic imbalance and (2) whether the fraction of mutated transcript and protein is an indicator/determinant of prognosis and survival for a given mutation and family also for FHC mutations in other proteins.

The Kaplan-Meier method estimates the probability of survival at a given time point for a member of the population from which the sample is drawn [ 3], taking into account patients who did not experience the event (outcome) of interest.

In each case we analyze the survival function to explore quantitatively how change in the level of correlation will affect the prognosis and the probability of survival beyond a given time.