The phrase "a given set of results" is correct and usable in written English.
It can be used when referring to a specific collection of outcomes or data that has been established or provided in a particular context.
Example: "In our analysis, we will focus on a given set of results to draw our conclusions about the experiment."
Alternatives: "a specific set of results" or "a particular set of results".
Note: For any given set of results, all multipliers but the analyzed one are set to 1.
For example, Google's search algorithm is designed to learn from users: if slightly more people click on the ninth link of a given set of search results than one higher up, then the algorithm learns from this, and moves the lower item upwards.
In practice, we do not know these factors, and many different patterns of transmission will be consistent with a given set of swab results.
In the current study, we provide risk estimates for CIN2+ to address the need for real-life evaluation of management strategies for patients with a given set of test results.
As new evidence-based medicine continues to evolve and guidelines and protocols continue to be periodically updated, along with the introduction of new technologies such as electronic prescribing, clinical decision support or bar-coding, a given set of FMEA results will only be valid for a limited time period and should therefore be updated regularly.
As mentioned in the previous section, a given set of data may result in practical identifiability problems.
Likely, for a given set of experiments and resulting datasets, the best candidates may satisfy one set of criteria in one dataset and a separate set of criteria in another dataset.
For a given set of experimental data best results are achieved using a heuristic approach, a so-called sequential search.
Now, a mutation with a given set of selection coefficients typically results in a different than a mutation with opposite effects in the sexes More precisely, male selective effects dominate the evolutionary outcome, as they are enforced by drive.
This project will provide the community with the ability to reproduce a given set of published supragenome analysis results, re-analyze the underlying data after modification of the parameters used during an analysis, and perform more detailed and insightful querying of the results than can be summarized in a typical journal publication.
