Sentence examples for mortality could have from inspiring English sources

The pain of Elizabeth's mortality could have changed Martin and Elizabeth alike into different and possibly better people.

Second, the impact of hyperoxemia on mortality could have been confounded by a large number of patients included with pulmonary lesions at admission.

Mortality could have been caused by intolerance towards the new abiotic conditions, lack of conspecific recruits, or sensitivity towards new biotic threats such as parasites or consumers.

Such changes in mortality could have repercussions for forest structure and species composition, but any consequences would need to be understood in the context of compounding effects of species-specific changes in growth and recruitment rates [61], [11], and frequency of disturbance events, such as pest and pathogen outbreaks, which may change with climate change [62].

Avoidable mortality could have been used instead.

This section introduces a changing structural analysis (i.e. that apart from covariates, infant mortality could have changed as well).

Only reports of women who were alive at the time of the survey were obtained, because in populations where maternal mortality ratios are very high, women of high mortality risk could have succumbed to the force of mortality [ 31].

It is not clear what would have caused the two peaks in the infant and child mortality patterns, but because they occurred during the time of peak HIV/AIDS mortality, they could have resulted from inconsistencies in the provision of PMTCT.

The critical issues arising from the volatility of data due to the small sample size (especially at the highest ages) may be made worse by missing records; this is the case, for example, of a small country previously part of a larger country, or a specific geographic area of a country, given that in some periods mortality data could have been collected just at an aggregate level.

The mortality data could have been analysed in various ways.

We limited the analysis to these years because more recent mortality data were not available at the start of the analysis, and previous years used a different coding classification for mortality which could have introduced an additional source of bias.