The phrase "advanced statistical methods" is correct and usable in written English.
It refers to complex techniques used in statistical analysis. It is typically used in academic or technical writing to describe the use of specialized statistical methods. Example: "The researchers utilized advanced statistical methods to analyze the data from their study and draw accurate conclusions."
The data were analysed by using advanced statistical methods.
We use advanced statistical methods based on extensive historical data to predict player performance.
In his professional work, he often used advanced statistical methods and cutting-edge technology, such as electron microscopy and isozyme electrophoresis.
Conclusion: We combine a regionalized administrative data source and advanced statistical methods to get deeper insights into epidemiological processes.
Geneticists have recently plunged into the field, arguing that linguists have been too pessimistic and that advanced statistical methods developed for dating genes can also be applied to languages.
The latest advance has been in data-driven discovery, or "data science": using extensive data sets and advanced statistical methods to derive predictive models of system behavior.
Additionally, general duties include holding office hours, curating real-world data for cases, teaching advanced statistical methods, grading papers, posters, and presentations, assignments, and supervising teaching assistants.
More advanced statistical methods capture the data complexity better, but are difficult to apply appropriately and correctly by investigators who do not have advanced training in statistics.
By using advanced statistical methods, the consortium was able to determine with a high degree of reliability the organizational characteristics and processes that can predict whether a school is likely to show above average improvement in student test scores.
Using advanced statistical methods, the consortium identified, with a high degree of reliability, the organizational traits and processes that can predict whether a school is likely to show above-average improvement in student outcomes.
For example, our study combines several advanced statistical methods - i.e. categorical CFAs, latent class analysis, bifactor modelling, and network analysis - and thereby accomplished to be the first study to model a complex system of RFs.
