Sentence examples for more variable when from inspiring English sources

The relative performance of individual methods was more variable when we compared different scores, especially for scores which can handle overlapping modules, although the overall ranking of the different module detection approaches remained stable (Supplementary Figs. 7 and 8).

This behavior becomes even more variable when more than three VM types are used in the probability distribution.

Results were much more variable when we checked the ATPase activity of BmrA remaining after extraction with these detergents.

The interaction between targets and distractors is thus more variable when distractors are new, reducing the utility of target learning.

Sampling performed particularly well when indicators were calculated in the full dataset while differences in estimates and sample distribution were more variable when analysed at site level.

The pattern was more variable when measured on chronograms.

According to Gavin Sacks, associate professor of food science whose research focuses on viticulture and enology, the student winery's high-quality processing equipment allows for more variables when teaching winemaking, and gives students added tools to reinforce concepts learned in the classroom.

However, one of its major limitations is the ease with which researchers can misinterpret their results when anxious to "prove" the validity of a model or to attempt to assess causality in the relation between two or among more variables when the research design does not allow for such conclusions.

The literature in this topic provides numerous examples supporting the need for consideration of more variables when attempting to answer that question.

Although information on other known risk factors such as vascular invasion and breast density was unavailable and could not be taken into account, the nomogram can be updated to incorporate more variables when they become available in clinical practice and registries [ 40].

These results indicate that the number of covariates in the starting model does not have a strong effect on the total time of execution, although a large number of variables produce more variability: when the number of starting covariates is larger than 15, the time needed increases more than 50-fold.