Sentence examples for the common propensity from inspiring English sources

While spatial and temporal variation in misreporting are likely to affect the ability of outbreak definitions to identify consistent outbreaks, it is likely that the common propensity for over-reporting of dengue cases during outbreaks and underreporting at other times would only reinforce the consistent distinction between outbreak periods and non-outbreak periods (Teutsch and Churchill, 2000).

Indeed, the implication of the ventral striatum in circumstances of systematically irrational risk-taking (Smith et al., 2014) suggests it is plausibly an important driver of maladaptive impulses such as the all too common propensity to gamble in the setting of fixed poor odds.

The approach to each of these problems illustrates a common propensity to blame the technology, rather than the way in which the technology has been used.

Despite little shared sequence homology, amyloid-forming polypeptides show a common propensity to misfold into highly-ordered polymers that are rich in fibrillar β-sheet structure.

Drag is so important to me because it exposes and celebrates the common ground and propensity for love and acceptance that we all have, regardless of how much some of us might buy into our internalized oppression.

Matching is always done with replacement and only observations in the common support region – where the propensity score of the control units is not smaller than the minimum propensity score of the treated units and the propensity score of the treated units not larger than the maximum propensity score of the control units – are used in the analysis.

While for years we’ve been told to avoid certain skin cancers by staying out of the sun, new research showed a link between low vitamin D levels and increased propensity to the common cold.

Some degree of change, however, can be anticipated to occur (although it may be minimal), in the samples of individuals selected from that overall cohort by Model 1 and Model 2. These differences can arise from differences in the patients that fall under the "Common Support Area" of the propensity scores, and, if matching is employed, differences in the percent of patients matched.

After estimating the probit model, we predicted the propensity scores and the common support region.

After predicting the propensity scores, imposing the common support region is the next important step because average treatment effect on treated and on population should only be defined in this region (Caliendo and Kopeinig 2008).

Below, we claim that it is plausible to assume that our Xs, that is, our administrative and survey control variables, enable us to accept that the CIA holds in our exercise and that the mean effect of treatment can thus be calculated as the mean difference in outcomes over the common support, appropriately weighted by the propensity score of the participants.