Sentence examples for value ceiling from inspiring English sources

Only 3 patients reported at baseline the lowest FSS scale value (floor effect) and 3 the highest value (ceiling effect).

* Floor = percent who answered minimum value; Ceiling = percent who answered maximum value ** All pairwise comparisons between means were statistically significant at p <.0001 except Italy vs. UK (p = 0.9234).

Distribution properties of responses to the items for the SCOPE were studied by examining missing values, ceiling and floor effects.

Differences between groups were assessed using non-parametric tests (Kruskal-Wallis, Mann–Whitney U) due to the negative asymmetry shown by EQ-5D utility values (ceiling effect) [ 12, 13, 20, 27].

We analysed acceptance (number of missing values), ceiling and floor effects, reliability (Cronbach's α), factor structure (confirmatory factor analysis), construct validity (correlation with a generic health-related quality of life instrument), and sensitivity to change.

These data were used to explore the probability that each treatment is the optimal choice, subject to a range of possible maximum values (ceiling ratio) that a decision-maker might be willing to pay for a 1%% increase in the proportion of patients achieving a clinically meaningful ADOS-G improvement.

This distribution is used to calculate the probability that each of the treatments is the optimal choice, subject to a range of possible maximum values (ceiling ratio) that a decision-maker might be willing to pay for a unit improvement in outcome.

These distributions are used to calculate the probability that intervention or control is the optimal choice, subject to a range of possible maximum monetary values (ceiling ratio, λ) that a decision-maker might be willing to pay for an increase in QALYs.

These distributions are then used to calculate the probability that one of the situations is the optimal choice, given a range of possible maximum values (ceiling ratio) that a decision maker might be willing to pay for a unit of improvement in outcome.

54 These distributions were used to calculate the probability that group therapy is the optimal choice, subject to a range of possible maximum values (ceiling ratio) that a decision maker might be willing to pay for a unit improvement in outcome.

Bootstrapped joint distributions of incremental mean costs and effects for the treatments was then used to calculate the probability that each of the treatments is the optimal choice, subject to a range of possible maximum values (ceiling ratio) that a decision-maker might be willing to pay for a unit improvement in outcome.