The phrase "advanced statistical tools" is correct and usable in written English.
You can use it when referring to sophisticated methods or software used for statistical analysis in various fields such as research, data science, or economics.
Example: "The researchers employed advanced statistical tools to analyze the data and draw meaningful conclusions."
Alternatives: "sophisticated statistical methods" or "complex statistical instruments."
Covers advanced statistical tools that are useful for empirical research in political science and public policy.
The advanced statistical tools, such as non-parametric analysis of disease association, meta-analysis, Bayesian analysis, and decision theory, take an important place in analysis of disease dynamics.
Optimised sampling techniques, as well as more advanced statistical tools and geographical information systems have facilitated studies at the landscape scale.
The recent explosion of machine learning algorithms has provided researchers with the opportunity to develop advanced statistical tools for automatically classifying lithology from these logs, enabling geologists to rapidly produce first-pass interpretations and validate others, even when core samples are missing or damaged.
In effect, we used advanced statistical tools to generate a primary result list.
The resulting data, together with advanced statistical tools, allow researchers to perform genome-wide mapping of loci for phenotypic traits with greater power and higher accuracy than with traditional QTL mapping.
This advanced statistical tool readily overcomes sample size limitations often encountered by parametric statistical methods (e.g., logistic regression analysis).
Specifically in paediatrics, where developmental changes have to be taken into account, which may influence the PK and/or the PD of the drugs, this advanced statistical tool is of critical value.
To this end we combined multiple, freely available tools and advanced statistical analytical tools.
His study then used advanced statistical analysis to gauge their relative importance.
The data were analysed by using advanced statistical methods.
