Sentence examples for optimal surrogate from inspiring English sources
Methods are developed and applied to select the optimal surrogate model from the collection of candidate surrogate models.
An optimal surrogate model selection framework, called Concurrent Surrogate Model Selection, or COSMOS, was utilized to identify the surrogate models best suited to approximate each objective function.
We also identified the optimal surrogate marker to predict the prognosis of HPV OPC.
This further supports the hypothesis that BML regression (absolute change or percent change) may not be an optimal surrogate endpoint.
However this study did not compare other anthropometric surrogates with birth weight to select an optimal surrogate.
However, an optimal surrogate end-point biomarker in a prevention setting needs to be modulated in normal or premalignant tissues.
These biomarkers are critical in the initial diagnosis of breast cancer and for determining whether endocrine therapy or HER2-targeted therapy is necessary; however, studies have shown that subtypes derived from these 3 biomarkers are sub-optimal surrogates for the PAM50-based breast cancer intrinsic subtypes [ 5, 7, 34].
While DNS caches generally improve user QoS by decreasing the number of redundant DNS requests that an end user may make, their presence may actually degrade user QoS by not connecting them to a more optimal CDN surrogate when one is available, possibly leaving them connected to a CDN surrogate with low QoS.
In addition to this, the presence of DNS caches located between the end user and their recursive DNS server (Such as in their browser, operating system, or home router) can further increase the time it takes for a DNS based redirection mechanism to provide an end user with optimal CDN surrogate server addresses.
So far the goals of optimal nutrition were surrogate endpoints; this study shows that for long-term acute care of female patients, optimal nutrition affects clinically relevant outcomes.
Another question to consider when applying our framework is whether the optimal number of surrogate family haplotypes will change with different reference datasets.
