Sentence examples for responses to explain from inspiring English sources

Exact(6)

Latent class and mixed multinomial logit models were used in the analysis of the responses to explain the presence of any unobserved taste heterogeneity.

Regardless of the overly simplistic, sophomoric, or arcane responses to explain why poverty is on the rise, it remains America's growing problem.

Our conceptual model also emphasizes the multiplicative nature of these responses to explain the pathogenesis of stress-related medical conditions during pregnancy which leads to induced PTB.

Nearly 50% said 'DNA,' 11% said 'RNA,' and 7% said 'Protein.' Twenty-four percent of respondents indicated 'None.' The 9% who chose 'Other' provided open-ended responses to explain.

aThis age category includes one participant aged 14 who was recruited early in the study before the minimum enrollment age was changed to 15. Women gave a wide range of responses to explain why they had chosen abortion.

The focus on within-gap variation in growing conditions highlights the need for more detailed studies of small-scale climatic and biotic responses to explain and predict large-scale processes, as the inclusion of small-scale variation in this model indicates that the use and recolonization of open areas after disturbance might very well be less straightforward than often assumed.

Similar(53)

Muslim Brotherhood supporters gave such a uniform response to explain their votes that it began to sound like a party line.

"We have issued a formal response to explain the project better, but we will no longer be taking his Open Letter seriously," Prof Markram wrote.

The possibility of a dose-dependent response to explain the increased case-fatality rate during the second wave of the 1918 influenza pandemic has never been put forward.

However, solely depression of neuronal responses fails to explain attractive shifts occurring when cells were adapted for a longer period of time.

Here, we present a strategy to model binary repeated responses and to explain how to choose between marginal and random-effects models.

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