The phrase "ability of the statistical" is not correct in English as it is incomplete and lacks clarity.
It could be used in a context discussing statistical methods or analyses, but it needs to be part of a more complete phrase to convey a clear meaning.
Example: "The ability of the statistical model to predict outcomes is crucial for our research."
Alternatives: "capability of the statistical" or "power of the statistical".
The robustness and predictive ability of the statistical models for discrimination purposes were tested by cross‐validation default method (7-fold) and further evaluated with permutation test (400 permutations) of SIMCA 14 software, Umetrics, Umea, Sweden [17, 18].
Assuming growth as a mixture trait improved the predictive ability of the statistical model considerably (Model 2 vs. 1).
Continuous measurement of variables such as blood pressure, cholesterol and obesity, annual GP visits, annual specialist visits and hospital bed days was used to enhance the ability of the statistical models to estimate the variance in utilization attributable to risk factors.
The ability of this statistical tool to predict the breakthrough times was discussed.
Future studies should investigate the ability of these statistical methods to capture all components of RS without the then-test method.
Heat and air pollution may have independent effects of respiratory outcomes however co-linearity may be influencing the ability of our statistical model to assess the independent effects of heat and air pollution and work is starting to emerge exploring the issue of confounding and effect modification of heat by air pollution [ 58].
This data not only strongly supports well-known experimental fact, but also demonstrates the ability of applied statistical analysis to test cooperation of the core elements.
We are well aware of the alphabet soup of acronyms, including CDOs and CLOs, that contributed to the crisis, along with an excessive degree of faith in the ability of complex statistical models to mathematize risk taking.
We examine the predictive ability of several statistical models, demonstrate how model choice depends on the goal for the predictive model, and examine whether building models on samples of the data affects model choice.
Third, we wanted to evaluate the ability of different statistical models to accurately detect differential gene expression.
So as to evaluate the prediction ability of the developed models, several statistical indices were used.
