Sentence examples for based on many variables from inspiring English sources

Exact(5)

I will bet a nickel that a study of law school professors would find that how a teacher is evaluated by either students or experts is based on many variables, among which years in practice is not the most significant.

The discrepancies for these findings could be based on many variables, including the species studied, age of the animals, and the methods of detection (e.g., only in our study was real-time PCR used).

The decision to accept a donor liver is based on many variables, such as medical history, hemodynamic parameters, vasopressive support, laboratory parameters, liver echography, and (in selected cases) liver biopsy.

While clinical decisions on choosing the correct antipsychotic medication are based on many variables and require clinical training and skill, there is still an element of trial and error in relation to which antipsychotic will produce symptom reduction with the least side effects for a given individual.

A company's success or failure is based on many variables, and it's really not possible to know for sure what the future holds for any enterprise.

Similar(55)

The outcome is based on many different variables, some of which are external to you and your performance.

Cancer patients have highly variable clinical outcomes based on many factors including the genetic make-up of the patient, the genetic and phenotypic variability of the tumors and the way the tumors interact with their surrounding stroma.

In the many cases where RCTs are impractical or unethical, instrumental variable (IV) analysis offers a nonexperimental alternative based on many of the same principles.

The reliability of power distribution systems is dependent on many variables such as load capacity and customer base, maintenance, and age and type of equipment.

Data on variables were measured based on variable description and variable type [see Additional file 2].

It should be noted that this validation is still based on the 2,796 variables, many of which likely constitute noise with respect to a classification of samples into production systems.

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