Sentence examples for insufficient amounts of data from inspiring English sources

Insufficient amounts of data from the patient XMN22 specimen hamper speculation of a similar nature for this case.

For both validation sites, logistic regression models on cluster membership could not be fit apparently due to an insufficient amount of data in these smaller cohorts.

As noted earlier, data from one subject's "day 2" resting state scan had an insufficient amount of data remaining following RSFC preprocessing.

> -wrap-foot> We observe that the EM method obtains estimates for all reactions, including the 7 cases where the insufficient amount of data made regression not applicable.

This was probably due to the low resolving power of the genes employed, use of an insufficient amount of data and/or the rapidity of the radiation event for the class (Draisma et al. 2001; Rousseau et al. 2001).

All of the trials were RCTs, while four of them were published only in abstract form, and an insufficient amount of data might potentially limit detection of S-1-based therapy effects.

We limited our model to two populations, since we had sequence data from only 12 or 17 loci, and an insufficient amount of data can mislead the estimation of posterior probability density when more populations are considered [ 59].

This lack of resolution likely represents a rapid radiation and that there is still insufficient amount of data (characters or taxa) to reconstruct the evolutionary history of these species.

The differing results from analysis of the concatenated dataset and the single-gene datasets could be caused either by an insufficient amount of data in single gene analyses or by conflicting signal between single gene phylogenies.

It is possible to conceive that the lack of knowledge could not be due to the insufficient amount of data but to the inability to manage them in an appropriate explicative model.

Quality control was a process performed to identify and remove the peptides with an insufficient amount of data across the set of samples [ 20], as well as to identify and remove the LC-MS data sets that showed significant deviations from the standard behaviors of all LC-MS analyses [ 22].