The phrase "are based on statistically" is not correct as it is incomplete and lacks a noun or context to clarify what is being based on statistics.
You can use it when discussing findings or conclusions that rely on statistical data, but it needs to be part of a complete sentence.
Example: "The results of the study are based on statistically significant data collected over five years."
Alternatives: "are grounded in statistical" or "are derived from statistical".
The predictors are based on statistically significant lagged inputs and partitioned into training (80%) and testing (20%) subsets to construct the forecasting models.
This results presented here are based on statistically significant findings.
Reported regression results of the study are based on statistically significant associations, but a statistically non-significant association does not necessarily mean that a relationship does not exist.
Three indicators, namely AA, OT, and UT, are based on statistically known concepts of on- and off-diagonal values of contingency tables.
QSAR models in drug design, for instance, strongly depend on the selection of variables, these often being selected using HCA; hence, the usual HCA-based approach for predicting molecular properties through QSAR analysis thus may be based on statistically unsound clusters or simply leaving aside more interesting ones.
It is based on statistically robust experimental results from more than 100 hemp-clay samples, together with the analysis of a large hemp-lime database.
Although the size-based categorization of SBP-dependent ABC importers has its merits, the correlation between the size of their TMD and mechanisms responsible for energy coupling may not be as strong as assumed, and should be based on statistically sound structural and functional data.
Two of the models were based on statistically selected sites that yield maximum discriminating power between cancer and normal tissue.
Estimation using 25% difference in nail clearing was based on statistically significant differences between all adjacent increments of clinical change.
The package offers a unified framework for single sample, multi-sample and multi-track segmentation and is based on statistically sound penalized least squares principles.
The analysis was based on statistically significant differences displaying greater than 1.5 fold changes between LB cultures with and without adrenaline.
