Sentence examples for models respondents from inspiring English sources

In the OLS and Tobit models, respondents with pain reported the lowest HRQoL scores, followed by depression, osteoarthritis and anxiety/nerves.

In adjusted models, respondents in the poorest and least poor quintiles had similar odds of reporting poor QoL while those in the second quintile had higher odds of poor QoL.

In binary regression models, respondents who were younger (p=0.04) and those with higher knowledge of preventive dental care (p=0.008) were more likely to consume sugary snacks less than once a day.

In unadjusted linear regression models, respondents who were HIV-affected in any way had lower mean health scores than those who were not, as shown by the negative β-coefficients (Table 2).

In these univariable models, respondents who identified positively with the various causes of fatigue and causes of difficulty initiating sleep were significantly more likely to use sleep aids, both inclusive and exclusive of alcohol.

We model respondents and non-respondents as two different types of nodes, distinguishing ties between respondents from ties that link respondents to non-respondents.

Using an exploded logit model, respondents' rankings of parcelization impact were found to be consistent, regardless of the forest good or service evaluated.

Of the 89 activities in the model, respondents assessed 87 to be relevant, across all pathways.

IRT models are probabilistic and model respondents' response to an item, to a position on an underlying unidimensional hypothesised construct.

DCE studies then use regression techniques to model respondents' choices as a function of the scenario attributes.

In the joint model, respondents generally expressed greater preferences for the MCP joints than the PIP joints.