Sentence examples for a different propensity from inspiring English sources

It is worth to underline here that, in principle, the two averaging methods (A versus I) are expected to have a different propensity for representing quantitative differences between expression profiles.

Among different breeds, the adipocyte depots can be regulated differently, and may have a different propensity to metabolize lipids.

26 28 This may reflect greater medicalisation of women's lives during the reproductive years, gender differences in underlying morbidity, or a different propensity to consult about some kinds of symptoms.

A second type of analysis regards a comparison between migrants and natives by disentangling the difference between the two groups as a difference due to structural parameters (i.e., a different propensity to save) and due to explanatory variables (i.e., different income levels or financial capability).

Professor Cornelius has studied the subject for 30 years and said each of us has a different propensity to cry.

In particular, if people vaccinated with influenza vaccine consulted differently than the rest of the population for an influenza episode, because of comorbidities or because of a different propensity to seek care for example, this could be a confusion factor when estimating VE.

In the nearest neighbor method considered in the baseline, for some treated units the nearest neighbor may have a very different propensity score, and, nevertheless, it would contribute to the estimation of the treatment effect independently of this difference.

This finding is expected in view of the increased number of aromatic rings, however, it has to be noted that the three isomers show a very different propensity to self-associate.

Studying patients with and without documentedsustained VT, regardless of their left ventricular ejection fraction, allowed us to compare spectral coherence in patients with a possible different propensity to malignant ventricular arrhythmias and, most likely, to SCD.

It estimates the probability that an individual would be abstinent (or smoking) at a given time point, allowing different propensity of abstinence (the random effects) among individuals.

The authors show that these differences were due to a combination of an interaction between propensity score and treatment effect and to differences in weighting subjects with different propensity scores.